Color Layers Research Articles

Effects of Pigment Particle Size and Colored Layer Thickness on the Underdrawing Detection in Painted Cultural Heritage Using Near-Infrared Photography

In this study, five types of inorganic pigments were selected, and samples with varying color layer thicknesses were produced following particle size analysis. Hyperspectral imaging was then used to assess the efficiency of underdrawing detection. By comparing infrared images in the near-infrared range(950 to 1700 nm), the study confirmed that particle size and color layer thickness significantly influence underdrawing detection efficiency using infrared photography. Specifically, larger particles within the same color layer thickness demonstrated superior detection efficiency, and the detectable thickness varied according to particle size. The efficiency of underdrawing detection, as measured by the brightness difference(ΔL*) between the base and underdrawing areas, also reflected this pattern. The study successfully established a correlation between pigment particle size, color layer thickness, and underdrawing detection efficiency. These findings are expected to serve as foundational data for detecting underdrawings in painted cultural heritage using Near-Infrared photography, as well as for interpreting pigment application techniques at cultural heritage investigation sites.

QRGB+: Advanced QR Code Generator with RGB Color Method in Python to Expand Data Capacity

The present work entitled QRGB, consists of the development of an application in Python for the generation of QR codes using the additive color generation (RGB) method. This innovative method allows increasing the density of information stored in QR codes by using three color layers (red, green and blue), each representing a different set of data. QRGB offers an efficient and secure solution for storing and transmitting large amounts of information in limited spaces, significantly improving the capabilities of traditional black and white QR codes. By using three layers of colors, QRGB codes can store up to three times more information in the same space. This technique not only increases storage capacity but also improves information security, making it difficult to forge or manipulate the code. The overlay of multiple data layers allows redundancy to be implemented, increasing the robustness of the code against damage or reading errors. QRGBs are especially useful in applications that require the transmission of large amounts of data in limited spaces, such as in the packaging industry, digital business cards, and interactive advertising. Additionally, they have great potential in areas such as document and banknote security, where the authenticity and integrity of information are crucial. These points provide a solid foundation for understanding the innovation and advantages of colored QR codes (QRGB) compared to traditional QR codes, highlighting their applicability and potential in various sectors. This article presents a novel method for encoding and decoding information using a QRGB code, which involves the generation of three independent QR codes and their superimposition according to the additive color system (RGB). The research highlights the challenges encountered during the encoding and decoding processes due to the lack of specific libraries in Python, which required the creation of a custom solution using open source tools. The implementation takes advantage of Python and its libraries: qrcode[pil] to generate QR codes with the Pillow dependency for image manipulation, Pillow to open, manipulate and save different image formats, and opencv-python to perform tasks such as image processing and object detection. Despite facing issues with color mixing and accurate information retrieval, the proposed method demonstrates a significant increase in data density within a single QR code. Future work will focus on optimizing the algorithm and exploring potential applications in data security and high-density information storage. This Python script is designed to generate and decode QR codes with a logo overlay using a graphical user interface (GUI) built with Tkinter. The script combines several functionalities, such as creating QR codes, overlaying a logo, combining QR images of different colors, and manually decoding combined QR codes.

Study on the wettability of microsphere-containing emulsion on different wood surfaces

ABSTRACT Applying microsphere-containing emulsion onto wood surfaces can enable microspheres to self-assemble into photonic crystal structures, generating structural colors that serve to decorate the wood surfaces. Wettability of the wood surface to emulsions significantly influences the construction of structural color layers. The wettability is further modulated by the inherent species-specific characteristics of the wood. To elucidate the differences in wettability of emulsions on wood surfaces, this study selected seven wood types, analyzed the changes in the contact angles of emulsions on their surfaces in different directions. It was found that the initial contact angle in parallel-fiber direction of wood was generally smaller than that in perpendicular-fiber direction, indicated that the parallel-fiber direction was more easily wetted by the emulsion. After the emulsion was dripped onto the wood surface and an initial contact angle was formed, it would rapidly spread and gradually penetrate into the wood. The properties of the main transport cells directly affected the change in contact angle. The emulsion transmission ability of hardwood was better than that of softwood, but this was not an advantage for assembling structural color layers. It was found that the change pattern conformed to the characteristics of an exponential function through non-linear fitting analysis.

The color influence of dust in air pollutants on architectural painting: a case of archery tower at the West Gate in Shaanxi, China

At present, under the influence of environmental pollution, the color of architectural painting gradually darkens, loses luster, and even cracks when the pigment falls off, which seriously affects the long-term preservation of architectural painting. In order to study the damage mechanism of dust particles to the color of the architectural painting, this study took the archery tower at the West Gate as the research object, monitored the temperature and humidity of the indoor environment, and analyzed the composition of the dust by ICP-MS, IC, and XRD. The experimental results showed notable fluctuations in the indoor humidity in inner the archery tower at the West Gate during the monitoring period from January to March, which were not conducive to the preservation of wood-colored paintings. The 24-h average PM2.5 and PM10 concentrations, measured over 2 days in January, were beyond the National Ambient Air Quality Standard norms, and PM contains a large amount of soluble salts such as sulfate and nitrate, causing serious salt erosion and damage to the color painting layer. Through the simulation experiment of the color painting layer, it was revealed that the dust particles deposited on the surface of the color painting layer change the spectral characteristics of the color painting layer, and then cause the color layer to lose its original hue, fade become blurred, or darken. It was anticipated that this research would serve as a valuable reference for the preventive protection of the color painting layer of the archery tower at West Gate.

A Network of Circular RNA and MicroRNA Sequencing Provides Insights into Pigment Deposition of Changshun Blue Eggshell Chickens.

Eggshell color plays important biological roles and attracts the attention of both egg retailers and researchers. However, whether non-coding RNAs are involved in pigment deposition among different eggshell colors remains unknown. In this study, RNA sequencing was used to analyse the uterine gland transcriptome (CircRNA and miRNA) of Changshun chicken blue-shell hens producing four different eggshell color eggs including dark blue PK(DB) and light blue (LB), dark brown and greenish (between blue and pink, DP) and pink (p). We found that miR-192-x, targeting SLC16a7, was expressed in DB, DP, and LB groups compared with the PK group, which indicates that miR-192-x may play a role in the blue eggshell color. KEGG and GO analyses showed that the "metabolic pathways" with targeted genes such BLVRA and HMOX1 were detected in dark and light blue color eggshell chickens, which confirms the different ratios of biliverdin and HO-1 involved in the deposition of blue color. As annotated by connectivity analysis, RASGRF1 and RASGRF2, belonging to the RASGRF family, are involved in the Ras signaling pathway, which plays an important role in cell growth, differentiation, metastasis and apoptosis. Our findings enrich the database of circRNA, miRNAs and genes for chicken uterine tissue, which will be useful in accelerating molecular selection for blue eggshell color layers.

Impact of cellular structure on the thickness and light reflection properties of structural color layers on diverse wood surfaces

ABSTRACT This study employed microsphere self-assembly to fabricate structural color layers on surfaces of seven woods. The wood cell structure, thickness of structural color layers, and optical reflection characteristics were analyzed. It was found that the main reflection wavelengths of structural color layers were all located at 490–500 nm. However, differences were observed in the reflection curves, as the thickness of structural color layers affected the width of reflection peak and the background reflection intensity. The water transport cells on wood surface are vessels in hardwood and tracheids in softwood. When they have larger diameters, higher numbers, and better internal patency, they can transport the emulsion, resulting in overflow and seepage. This reduced the number of microspheres, and led to thinner structural color layers with flatter and lower reflection peaks. The theoretical thickness of structural color layers were also calculated. By comparing the theoretical thickness of the structural color layers in two different crystal forms with the measured thickness, the influence of microsphere filling in vessels/tracheids and emulsion overflow on the thickness and optical reflection characteristics of the structural color layer was verified. This provides support for the development of controllable construction for structural color layers suitable for different woods.

Quantitative study on the color of traditional dwellings in Jianxi River Basin, Fujian Province, based on the lab color space model

ABSTRACT The color palette of traditional dwellings is intricately shaped by the characteristics of the geographical environment and the long-standing lifestyle of residents, thus constituting a vital component of rural culture. However, the rapid development in recent years has resulted in the dilapidation of rural features, including haphazard colors employed in buildings. With the advancement of science and technology, the studies of color have transitioned from a qualitative to a quantitative approach. Through a comprehensive comparison of RGB, HSB, CMYK, and Lab color spaces, as well as an evaluation of color card comparison method, software analysis method, and instrument measurement method; this paper reveals that employing the instrument measurement method in conjunction with the Lab color space enables independent assessment free from subjective influence. This approach facilitates more objective and accurate collection of color data while ensuring seamless and lossless transmission between devices. Therefore, to safeguard and enhance the authenticity of traditional dwellings and preserve the architectural style of traditional villages, this paper focuses on investigating the color palette of traditional dwellings in the Jianxi River Basin. The CM-700d spectrophotometer is employed for color data collection, while quantitative analysis is conducted using the Lab color space to unravel the color logics in this region. The findings reveal that earth yellow (average Lab (50.35,7.40,19.63)) constitutes the main color of rammed earth walls, complemented by dark brown (average Lab (38.72,2.97,8.58)) tiled roofs and gray-brown (average Lab (41.95,4.30,12.75)) stone wall bases as accent color; additionally, gray-yellow (average Lab (49 .82,1 .93,10.98)) brick gatehouses serve as accent colors. The integration between these colors and nature is harmonious; however, the absence of distinct color layers and highlights in the traditional dwellings necessitates incorporating bright architectural decorations along with arrangements of flowering plants. This paper conducted a quantitative analysis on the color of traditional dwellings with three main objectives. Firstly, to establish a comprehensive color database that can effectively preserve and promote regional traditional dwelling colors, while aiding designers in capturing regional color characteristics. Secondly, by collecting precise color data, this paper lays the groundwork for future applications of digital color technology. Lastly, it aims to explore the regional color logic and its potential integration with future studies on color evaluation to uncover preferred color combinations among the public for dwellings.

Biodegradation effects of three Aspergillus species on iron-based oxides (Hematite − Goethite) in paint layer in oil paintings

The inorganic colour layer based on iron oxide is affected by microorganisms (fungi) and leads to its deterioration due to feeding on the mineral elements through the chemical composition of the colour in the presence of a suitable environment (medium). Damage occurs as a result of heavy metal elements being removed from the colour, leading to a defect in the chemical composition and the fading of the colours. The current study showed the effect of the different types of the most common fungi on oil paintings (Aspergillus flavius, Aspergillus fumigatus and Aspergillus niger) after cultivating the different types of fungi and obtaining pure colonies for each fungus separately and conducting a fungal infection on experimental samples with preparing the old techniques, coloured with hematite red and goethite yellow. Each colour is mixed with different proportions of linseed oil (1, 2, 3). They were aged artificially and incubated at a temperature of 262+- degrees and examined periodically until the fungi appeared on the surface in the form of colour spots ranging from very dark (severe infestation) to light (low infestation). The change in chemical composition was measured by Raman and EDX analyses of the samples before and after infection. Fungi showed the appearance of spoilage products from metal sulfides and metal carboxylates. The iron oxide ion decreased in both the red and the yellow colours, leading to a change after the fungal infection. Examination of the morphological surface using SEM, USB and measurement of colour change showed the change in the red colour more than the yellow and scattering of green and black colour dots on the surface of the sample. Correlation and Simple Linear Regression were applied for each colour before and after besides both colours together. It was found that these colours appeared around some of the fungal colonies as a result of the activities. Fungal species of some strains reduced Fe+3 to Fe+2 . This provides new insights into the role of microorganisms in the deterioration of painted surfaces.

Enhancing food safety: A low-cost biosensor for Bacillus licheniformis detection in food products

To enhance food safety, the need for swift and precise detection of B. licheniformis, a bacterium prevalent in various environments, including soil and food products, is paramount. This study presents an innovative and cost-effective bioassay designed to specifically identify the foodborne pathogen, B. licheniformis, utilizing a colorimetric signal approach. The biosensor, featuring a 3D-printed architecture, incorporates a casein-based liquid-proof gelatine film, selectively liquefying in response to the caseinolytic/proteolytic activity of external enzymes from the pathogen. As the sample liquefies, it progresses through a color layer, causing the migration of dye to an absorbent layer, resulting in a distinct positive signal. This bioassay exhibits exceptional sensitivity, detecting concentrations as low as 1 CFU/mL within a 9.3-h assay duration. Notably, this cost-efficient bioassay outperforms conventional methods in terms of efficacy and cost-effectiveness, offering a straightforward solution for promptly detecting B. licheniformis in food samples.

Mango Tree Dataset for Yield Estimation: Some Exploratory Analysis

Objectives: Employing computer vision methods for yield estimation requires standard datasets. However, unavailability of such a dataset in the literature limits the researchers from evaluating and comparing the performance of their proposed algorithms. In this paper, a benchmark of mango tree dataset is introduced. Methods: The dataset is gathered over a 5-month period, starting from the fruit's blossoming stage and ending with its ripening stage. There are 21,000 photos of 4 distinct mango tree varieties in the dataset. From each cultivar, images are captured with different views, distances, and daylight conditions. Further, preprocessing, and exploratory analysis of the dataset are carried out by extracting a few global features such as colors, textures, and histograms for intra-class and inter-class mango trees. Findings: The analysis of the collected dataset with different color layers by extracting a few global features and classification of the cultivars of mango trees and, based on the results obtained, the optimal layer of color is attained for the further yield estimation process. Novelty: Exploratory analysis of a novel temporal mango crop dataset is executed, and a color analysis classification method is proposed to aid in the early estimation of mango fruit crop yields. Keywords: Mango Fruit, Yield Estimation, Temporal Dataset, Feature Extraction, Tree Classification

Optimizing support vector machine (SVM) by social spider optimization (SSO) for edge detection in colored images

Edge detection in images is a vital application of image processing in fields such as object detection and identification of lesion regions in medical images. This problem is more complex in the domain of color images due to the combination of color layer information and the need to achieve a unified edge boundary across these layers, which increases the complexity of the problem. In this paper, a simple and effective method for edge detection in color images is proposed using a combination of support vector machine (SVM) and the social spider optimization (SSO) algorithm. In the proposed method, the input color image is first converted to a grayscale image, and an initial estimation of the image edges is performed based on it. To this end, the proposed method utilizes an SVM with a Radial Basis Function (RBF) kernel, in which the model's hyperparameters are tuned using the SSO algorithm. After the formation of initial image edges, the resulting edges are compared with pairwise combinations of color layers, and an attempt is made to improve the edge localization using the SSO algorithm. In this step, the optimization algorithm's task is to refine the image edges in a way that maximizes the compatibility with pairwise combinations of color layers. This process leads to the formation of prominent image edges and reduces the adverse effects of noise on the final result. The performance of the proposed method in edge detection of various color images has been evaluated and compared with similar previous strategies. According to the obtained results, the proposed method can successfully identify image edges more accurately, as the edges identified by the proposed method have an average accuracy of 93.11% for the BSDS500 database, which is an increase of at least 0.74% compared to other methods.

Why Are the Early Gothic Murals in St. Jacob’s Church in Ormož, Slovenia, Almost Entirely Black?

In St. Jacob’s parish church in Ormož, Slovenia, mural paintings from around 1350–1370 are partially conserved in the northeastern corner of the main nave. They are almost completely black, indicating a large-scale pigment degradation. They were studied as a part of a larger research project aiming to identify materials applied and their possible degradation. First, they were studied in situ, and next, extracted samples of plaster, pigments, and colour layers were analysed by optical microscopy, Raman spectroscopy, FTIR spectroscopy, SEM-EDS, and XRD. Haematite, green earth, malachite, azurite, and tenorite were identified, showing that azurite and perhaps also malachite degraded to black tenorite, probably due to their fine grinding and their application directly on the fresh plaster. The plaster is made with small and large amounts of aggregate with mostly quartz with some impurities, which makes it fragile. The original appearance of these murals was of bright blue and green colours.

Influence of Cell Characteristics on the Construction of Structural Color Layers on Wood Surfaces

When utilizing microspheres to construct structural color layers on wood surfaces, the cellular structure of wood can influence the self-assembly of microspheres and the resulting structural color layers. To investigate this influence, seven types of wood were selected in this study, and structural color layers were constructed on their surfaces. A comparative analysis was conducted on the color production and macro and micro morphologies of the structural color layers on different wood surfaces, along with an examination of the types and causes of surface defects. The study found that when a microsphere-containing emulsion was applied to a wood surface, the emulsion tended to flow along the vessels of hardwood and the tracheids of softwood. Overflow or seepage of the emulsion could lead to a reduction in the number of microspheres per unit area, resulting in uneven thickness and uneven color generation of the structural color layers. Although the structural color layers on different wood exhibited the same color, there were variations in their tones, appearance, and morphology. Defects such as minor bumps and pits were present on the structural color layers. Bump defects might originate from microsphere encapsulation of fiber bundles or the displacement of air within vessel lumens by emulsion, while pits were mainly caused by the inflow of emulsion into the vessel lumens. This study clarified the influence of wood surface cells, particularly vessels and tracheids, on the construction and color production of structural color layers, providing support for the controllable modification of wood surfaces using structural colors.

Study of Selective Modification Effect of Constructed Structural Color Layers on EUROPEAN Beech Wood Surfaces

In this study, the brush method was used to construct structural color layers on the surface of European beech wood, which has wide rays. The purpose was to expand the research on the structural color modification of wood surfaces and to promote its industrial application. By comparing the structural color layers constructed through brushing on beech wood and glass surfaces, the construction speed on the wood surface was significantly faster than that on the glass surface, which was mainly attributed to the porous structure and hydrophilicity of the wood, which made the solvents to be absorbed quickly, greatly improving construction efficiency. At the same time, the wide-ray regions of the European beech wood showed distinct and excellent structural color modification effects. This specific effect was not only reflected in faster construction speeds than other regions, but also in a complete and full-color block. Moreover, by changing the particle size, raw material, and structure of the microspheres, and by brushing several times, the special construction phenomenon and decorative effect still existed. By characterizing the surface morphology and roughness of beech wood, it was found that the surface of the wide rays was flatter than other anatomical structural regions, which was more conducive to the self-assembly of microspheres and the formation of a structural color layer. The results of this study will help to advance the development of technologies such as structural color-selective modification of wood surfaces.

Analysis of Surface Damage on the Mural Painting in Josadang Shrine of Buseoksa Temple in Yeongju Using Reflectance Transformation Imaging Technology

In this study, we examined the effectiveness of RTI(Reflectance Transformation Imaging) method as a digital imaging technology that can accurately and three-dimensionally record the damaged state of mural heritage. For this purpose, major damage types were classified on the mural painting in Josadang shrine of Buseoksa temple in Yeongju, and an RTI was conducted on areas with highly damaged areas. According to the results by the type of damage to the murals, salt weathering damage (58.9-18.2%), painting layer damage (37.9-13.0%), past reinforcement area (9.8-4.2%), biological damage and other contamination (19.8-2.5%), exposed damage to the finishing layer (19.7∼0.7%), past fixative area (2.5∼0.0%), and cracks (0.5∼0.3%) were found to have a high share of damaged area. From the RTI investigation for each damage type, image data was constructed to visually identify the degree of damage. In particular, in the case of microscope-based RTI, it was confirmed that it can be used as an accurate recording technology because it can identify color layer exfoliation, pigment particle shape, and salt crystal shape that are difficult to see in general microscope images. This is a research method that has not been attempted in existing RTI or mural research, and is expected to be applicable in the future not only to murals but also to the field of cultural heritage with painting layers.

Surface blackening of titanium alloy by laser nanosecond pulses

The possibility of developing and blackening the surface of titanium alloy by nanosecond pulses of an ArF laser, a Nd:YAG laser, and a copper vapor laser for use in space engineering is studied in this work. For various irradiation regimes, the optimal parameters for the formation of the necessary surface structures were determined. The possibility of applying a reliable color layer without the use of any paints on the surface of a titanium alloy as a result of treatment with an Nd:YAG laser beam is shown. In particular, this method of laser processing will make it possible to obtain black color on the surface of devices used in outer space to absorb and dissipate solar energy, and it is expected to increase the radiation resistance of such coatings and their service life.

Research on the vision system of lychee picking robot based on stereo vision

In this study, we propose a development scheme of litchi robot vision system based on stereo vision. The system includes three components: image acquisition, image analysis, and image processing. The obtained image can be corrected according to the light environment conditions with the corresponding algorithm for image color, calculate the Hue color layer, analyze the external characteristics and positional data (2D) of litchi, obtain the 3D coordinate information of fruits and vegetables, and provide to the running device for route planning and vegetable and fruit picking claw tools for picking. The integration test results for the robot arm and claw tool demonstrate the following: (1) Using image acquisition, the system can acquire high-quality images in real-time via a combination of automatic exposure and white balance conversion. (2) Using image analysis techniques such as background separation, edge detection, and external feature search, it is possible to successfully calculate the location coordinates of the litchi's tip, center, and bottom. (3) Using image processing, the claw of the picking machine can determine the condition of overlapping lychees and their state of ripening based on the depth information of feature points used in the picking operation. (4) Under the working range of 18.4 cm × 33.6 cm, the success rate of picking litchi with a diameter of 28 mm, 34 mm, and 42 mm was 93.3%, 91.1 %, and 84.4%, respectively, exceeding the design expectation level.

Vivid Colored Cooling Structure Managing Full Solar Spectrum via Near-Infrared Reflection and Photoluminescence.

Colored radiative cooling (CRC) offers an attractive alternative for surface and space cooling, while preserving the aesthetics of an object. However, there has been no study on the CRC using phosphors in regard to vivid coloration, sophisticated performance investigation, retention of properties, functionality, and structural flexibility all at once. Thus, to manage the entire solar spectrum, a colored cooling structure comprising a near-infrared (NIR)-reflective bottom layer and a top colored layer with a phosphor-embedded polymer matrix is proposed. The structure is paintable, vividly colored, hydrophobic, and ultraviolet (UV) and water resistant. In the daytime outdoor measurement, the structure with red, orange, and yellow colors exhibited lower temperature than a control group using commercial white paint by 4.7 °C, 7.2 °C, and 7.4 °C, respectively. After precise theoretical and experimental time-tracing temperature validation, the CRC performance enhancement from NIR reflection and photoluminescence effects was thoroughly analyzed, and a temperature reduction of up to 16.1 °C was achieved for the orange-colored structure. Furthermore, experiments of hydrophobicity infusion and exposure to UV and deionized water verified the durability of the colored cooling structure. In addition, flexible-film-type colored cooling structures were demonstrated using different bottom reflective layers, such as a silver thin film and porous aluminum oxide particle-embedded poly(vinylidene fluoride-co-hexafluoropropylene), suggesting the potential applicability of these colored cooling structures for vivid-colored, functional, and durable CRC.

Surface Roughness of Wood Substrates after Grinding and Its Influence on the Modification Effect of Structural Color Layers

For a comprehensive understanding of the surface roughness of wood substrates after grinding and its influence on the construction of surface structural color layers (SCLs) and the effect of color production, four typical diffuse-porous wood species were investigated by grinding with abrasive belts of different grits. The results indicated that an abrasive belt of suitable grit was required to form the flattest surface for different wood species. Notably, 400-grit abrasive belts can be used for quaking aspen (QA) and yellow poplar (YP) wood, while 320-grit abrasive belts can be used for kang duan (KD) and hard maple (HM) wood for the grinding process. When the grit of the belt was 80–240, the surface roughness of the wood was high, and the gully contour was mainly determined by the machining marks created by the grits during the cutting process. When the SCLs were constructed on these wood samples, the grooves formed by grit grinding caused the emulsion to overflow on the surface of the wood, thus preventing the formation of well-ordered SCLs with excellent color production. In contrast, when the grit of the abrasive belts was increased to the range of 320–800, the main factors affecting the roughness of the wood surface led to the anatomical structural features. Vessels, in particular, not only affected the surface roughness of the wood but also served as a major path for emulsion flow. The number, diameter, and patency of vessels per unit area were the main factors affecting the SCL’s construction and decoration effect on wood surfaces. This study clarifies that the roughness of the wood surface after the grinding process is jointly influenced by the grit of the abrasive belt and the wood’s anatomical structure. Roughness is an essential factor that affects the modification effect of the SCLs on the surface of wood.

Artiodactyl footprint Pazhanipeda kiyani ichnog. ichnosp. nov. From Miocene Agha Jari Formation, Gotvand area, Zagros Mountains, SW Iran

ABSTRACT Zagros Mountains in the southwest Iran was created by the closure of the Neo-Tethys and collision of Arabian and Eurasian plates. The Fars Group (Miocene to Pliocene) formed during this collision. The Agha Jari Formation (upper Miocene- lower Pliocene) is uppermost rock unit of the Fars Group, which has high potential for terrestrial vertebrate ichnology. This formation mostly deposited in the continental environment and a section of the formation studied in the east Gotvand, north Khuzestan province, southwest Iran. Agha Jari Formation, includes alternations of sandstone, siltstone, and marl in red to brown colour layers in the studied section. Numerous vertebrate footprints have been reported from the middle part of the formation in Gotvand section, among which artiodactyl footprints are abundant and diverse. Re-examination of artiodactyl footprints led to the discovery of a new ichnogenus and ichnospecies, Pazhanipeda kiyani, characterised by small-sized didactyl hooves, asymmetric and gracile imprints, and a wide interdigital angle. Based on the comparison of size, morphology and asymmetry of digit imprints with artiodactyl hooves, goats were considered as track makers of Pazhanipeda kiyani.