AI based ID Card Fraud Detection using Deep Adversarial Network

The Student ID Card Generator System is a computerized solution designed to automate the process of creating and managing identification cards for students and employees in educational institutions and enterprises. Traditional manual methods of ID card creation are time-consuming, prone to human error, and vulnerable to forgery. This system replaces these manual processes with an efficient and reliable software-based approach, ensuring accurate data management, secure authentication, and quick generation of ID cards. By integrating a centralized database, the system provides a platform where administrators can generate cards in bulk, maintain records, and verify user information, significantly reducing administrative workload and operational inefficiencies. The system also enhances user experience by allowing students and employees to register, log in, and view their ID cards online. Security features, such as unique identification numbers, database verification, and controlled administrative access, prevent duplication and unauthorized use. Additionally, the system supports flexibility for future improvements, such as real-time photo capture and QR code integration for instant verification. Overall, this project ensures a fast, secure, and error-free ID card management system that improves institutional record-keeping, data accuracy, and operational efficiency. Moreover, the Student ID Card Generator System is scalable and flexible, allowing it to function at institutions of various sizes. Designed to allow for ease of use and interaction, the system can be used by administrators and students without the need for extensive training. The Student ID Card Generator System allows institutions to store all information securely in a centralized database, where all records are easily retrievable and modifiable while eliminating the chance of data loss. Whereas administrators would previously perform a lot of administrative tasks manually, by automating these activities, the Student ID Card Generator System demonstrates operational improvements in efficiency, and reliability, strengthens security compliance, and helps lessen the number of human errors. Keywords- ID Card Generator, Student Identification, Employee Management, Database Security, Automated Card Generation

The Archives of the Krakow City Hall, located from 2018 in the new seat at Na Załęczu 2 has a collection of files of approximately 19,800 running meters. Among them are documents that are extremely helpful in conducting genealogical research. These include registration books, residents ‘registers, residents’ personal cards and ID envelopes with the records of issued identity cards. The collection of registration books is about 265 linear meters. The oldest of them come from the 1930s. The books were kept separately for individual buildings. They contain records regarding registration, residents’ personal data, information about the profession and position held, religion, nationality and attitude to military service. The registers of permanent residents, introduced in 1961, replaced the registration books. They were assumed separately for each apartment. They entered the real estate address, personal data of residents, the period of registration, the place of the previous registration and the place where the resident moved. In 1975 they were replaced by the Resident Personal Cards (KOM). The idea behind the Resident’s Personal Card was to assign it to a person, not an address. KOM included personal and registration data and, for the first time, the PESEL number. Successive addresses were entered on the card. The previous address of the resident was also entered. The collection of personal cards of residents has about 350 running meters. The set of evidence envelopes is an extremely valuable collection. By evidence envelopes, we mean all documentation related to the issuance of identity cards. The envelopes contain the name and surname of the owner, date of birth, PESEL number, series and number of the ID card. The envelopes contain old questionnaires, birth certificates, registration certificates, work certificates, photos and military documents. Old identity cards, such as pre-war ID cards and identity cards, have also been preserved. The documentation collected in the archive, consisting of registration books, registers, residents’ personal cards, and envelopes of ID cards, forms a collection of about 980 linear meters and is an excellent source for genealogical research, the more valuable that it is preserved in its entirety. The collected files have never been shredded, they are well preserved, organized and recorded.

Educational institution in developing countries is a vast sector and it is expanding rapidly. With the rapid growth of technologies, educational institutions are still lagging behind. For identification of students they still lie on manual handwritten ID card and files. If proper ID card system is introduced then it would be much easier to identify a student and can track his her progress. Therefore, in this research we implemented advanced using of QR code and student ID generation. We tried level best to make right implementation of QR code with student ID card. Automated student ID had image capturing facility and requirements of an ID and there is no need of hand written ID card. QR code is attached into ID card and student personal details can be found by scanning the QR code with smart phones (downloaded & installed QR reader software). QR code is said to be the next generation of bar code and using QR code with ID card brought positive outcomes. While using software tools, identity cards works fine and suitable for an educational institution as it is free. Thus, ID card will be a perfect use of modern technology in developing countries.

Identity documents (or IDs) play an important role in verifying the identity of a person with wide applications in banks, travel, video-identification services and border controls. Replay or photocopied ID cards can be misused to pass ID control in unsupervised scenarios if the liveness of a person is not checked. To detect such presentation attacks on ID card verification process when presented virtually is a critical step for the biometric systems to assure authenticity. In this paper, a pixel-wise supervision on DenseNet is proposed to detect presentation attacks of the printed and digitally replayed attacks. The authors motivate the approach to use pixel-wise supervision to leverage minute cues on various artefacts such as moiré patterns and artefacts left by the printers. The baseline benchmark is presented using different handcrafted and deep learning models on a newly constructed in-house database obtained from an operational system consisting of 886 users with 433 bona fide, 67 print and 366 display attacks. It is demonstrated that the proposed approach achieves better performance compared to handcrafted features and Deep Models with an Equal Error Rate of 2.22% and Bona fide Presentation Classification Error Rate (BPCER) of 1.83% and 1.67% at Attack Presentation Classification Error Rate of 5% and 10%.

The Indonesian Identity Card (ID card) has been widely used as authentication in various fields. One of the most common uses of ID cards is registration on various business processes that require some personal privacy data, including an ID number, full name, date of birth, address, and many more. This research focuses on extracting the ID card image characters into an editable format by implementing the Optical Character Recognition (OCR) in the mobile platform. There are three significant steps of the proposed algorithm: image pre-processing, character recognition, and character extraction. The output of this research is an application that enables the user to recognize some important information on the ID card image and save the data into a file by utilizing an Android-based smartphone. The system proposed achieved the best accuracy of 87.5% from 50 samples of Indonesian National ID cards with 2.137 characters recognized (the average is 43 words).

ABSTRACTLaser-induced breakdown spectroscopy (LIBS) was applied to the preliminary examination of Polish documents – passports and identity cards – for forensic purposes. Several security features of potentially high discrimination capability were selected at both the passports (Alphagram, serial number, the contour map of Europe, and emblem) and identity cards (kinegram, the date of birth, and emblem). Different elemental compositions were identified after comparing the spectra recorded from various measurement locations. It was possible to identify characteristic atomic emission from several elements (such as Ti, Ca, K, Fe, Cr, Mg, Na, La, Cd, Li, V, Al, Mn, Ni, and Cu) based on the type of document, issue date, and evaluated area. In the case of passports, the potentially good discriminators with unique elemental composition were identified, e.g., the serial number and the contour map of Europe printed with the use of intaglio printing technique. Identity cards with the cover of polycarbonate foil constitute a very difficult sample to analyze because of the foil’s influence on the laser ablation phenomenon. This study presents the potential of LIBS as an effective and useful technique to analyze Polish passports for forensic purposes. Its many advantages provide a good alternative to the analytical methods routinely used for the examination of these objects.

Multiple object recognition from various ID proofs will give more security as well as authentication of the data. In general, various ID proofs showcase objects in various ways, so manually identifying common objects is a time-consuming process. Some of the existing work like YOLOv3, YOLOv5, CNN, and Faster RCNN, all concentrate on one single object detection from the same dataset category, while the proposed work concentrates on heterogeneous datasets with the YOLOv5s model. The proposed work will automate the multiple object detection and recognition from various government id proofs as well as overcoming overlapped object recognition. The proposed model includes deep YOLOv5, which contains 19 convolution layers and 5 pooling layers. The proposed model detects the object from 1000 manually collected various government ID proofs like driving licence, PAN card, Aadhaar card, and voters' ID. The model is trained with 750 datasets and tested with 250 datasets, and finally validated with 50 datasets. The model clearly detects and recognize the name, unique identification number, date of birth, and photograph with 94.6% accuracy. Also, the model recognizes overlapping signatures with better accuracy.

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Currently, it is ever more common to access online services for activities which formerly required physical attendance. From banking operations to visa applications, a significant number of processes have been digitised, especially since the advent of the COVID-19 pandemic, requiring remote biometric authentication of the user. On the downside, some subjects intend to interfere with the normal operation of remote systems for personal profit by using fake identity documents, such as passports and ID cards. Deep learning solutions to detect such frauds have been presented in the literature. However, due to privacy concerns and the sensitive nature of personal identity documents, developing a dataset with the necessary number of examples for training deep neural networks is challenging. This work explores three methods for synthetically generating ID card images to increase the amount of data while training fraud-detection networks. These methods include computer vision algorithms and Generative Adversarial Networks. Our results indicate that databases can be supplemented with synthetic images without any loss in performance for the print/scan Presentation Attack Instrument Species (PAIS) and a loss in performance of 1% for the screen capture PAIS.

Privacy features of European eID card specifications

Remote identity verification systems which rely on official documents, such as government-issued ID cards, require the use of Presentation Attack Detection (PAD) systems in order to combat impostor attacks. These attacks might use composition or splicing techniques, a printed ID card, or an image of the document displayed on a screen, altered prior to its presentation to the verification system. Based on recent efforts, Face Image Quality Assessment may help PAD systems in identifying ID card image tampering by utilising the photo ID section of the document, where a low face image quality could be related to printed, screen, or composite spoofed ID cards. This work presents an early approach towards complementing ID cards PAD systems by employing MagFace, a quality-aware face recognition method, in conjunction with a Chilean ID card PAD system, analysing the influence of the quality index of photo IDs on the system and its effectiveness when a prior rejection of low quality ID card images is made.

What is your username? What is your password? What is your PIN number? These are some of the commonly used key questions users need to answer accurately in order to verify their identity and gain access to systems and their own data. Passwords, Personal Identification Numbers (PINs) and ID cards are different means of tokens used to identify a person, but these can be forgotten, stolen or lost. Currently, University of Hertfordshire (UH) carries out identity checks by checking the photograph on an ID card during exams. Other processes such as attendance monitoring and door access control require tapping the ID card on a reader. These methods can cause issues such as unauthorised use of ID card on attendance system and door access system if ID card is found, lost or borrowed. During exams, this could lead to interruptions when carrying out manual checks. As the invigilator carries out checks whilst the student is writing an exam, it is often difficult to see the student’s face as they face down whilst writing the exam. They cannot be disturbed for the ID check process. Students are also required to sign a manual register as they walk into the exam room. This process is time consuming. A more robust approach to identification of individuals that can avoid the above mentioned limitations of the traditional means, is the use of biometrics. Fingerprint was the first biometric modality that has been used. In comparison to other biometric modalities such as signature and face recognition, fingerprint is highly unique, accepted and leads to a more accurate matching result. Considering these properties of fingerprint biometrics, it has been explored in the research study presented in this thesis to enhance the efficiency and the reliability of the University’s exam process. This thesis focuses on using fingerprint recognition technology in a novel approach to check identity for exams in a University environment. Identifying a user using fingerprints is not the only aim of this project. Convenience and user experience play vital roles in this project whilst improving speed and processes at UH.

Mariana’s narrative presents just one example of the complexities of going about daily life as a transgender or intersex person in Chile contemporary. In a society where identity (ID) cards are central to accessing most services, from public health to the labor market, the incongruence between self-presentation and official identification serve to perpetuate the discriminatory practices directed toward transgender 2 and intersex individuals. This frequently results in the denial of access to basic rights. These are seen as part of a vicious circle. Not having a legal identity congruent with the person’s adopted gender essentially implies exclusion from education, employment, and health. Such a scenario has encouraged some to seek legal change to gender and name status as a means of ameliorating their inclusion in society. However, in order to do so, individuals need sufficient financial resources to undergo surgery and hormonization in a costly, privatized health service. Though gender identity is not currently regulated by law, a gap in the law has thus far been exploited in order to allow individuals to “re-sex” their transgender bodies. However, this has occurred predominantly in the cases of “the post-surgical body” (Sharpe, 2002, 3).

One of the latest innovations that has caught the attention of generation Z is the introduction of the digital identity card. As a substitute for physical ID cards that have been around for a long time, digital ID cards offer various benefits and attractive potential for generation Z. In this approach, a digital ID cards are a digital version of a person's identity that is stored electronically, with personal information such as name, address, and number identity. However, a digital ID card is not just a substitute for a physical ID card but a tool that enables generation Z to make wider use of information technology. This study aimed to explore the use of digital national identity cards in generation Z. This research is qualitative research that explores and describes in detail a situation or phenomenon of the research object being researched by developing concepts and gathering existing facts. Raw data is analyzed and organized by data collection date, data source, data type, data description, and data nature. All data must be read in order to find out what data has been obtained, the source of the data, and its meaning. Overall, generation Z has a positive opinion of digital ID card services. They see it as convenience and convenience to access their identity electronically, avoiding the need to carry physical documents all the time and speeding up administrative processes. Generation Z also appreciates the administrative efficiency offered by digital Identity Card services, enabling them to process ID card extensions or personal data changes more easily and quickly. Apart from that, generation Z also appreciates the integration of digital ID card services with other digital platforms. They can integrate their identity with banking services, e-commerce, or online ordering platforms, enabling them to make transactions easily and quickly. Generation Z is also aware of the positive impact of using digital ID cards on the environment by reducing the use of physical documents and contributing to sustainability.

National Identity Cards have become one of the most important modern personal identification methods in the history of identity authentication. Over the past few years, electronic identity cards started to be used in different countries all over the world, but for more than a decade the UAE started to use it for personal identification and authentication purposes. Emirates identity is an ID card given out by the Central government for Distinctiveness and Nationality. It's a lawful obligation for every UAE residents as well as inhabitants to request for a card and carry it all the time. It is used in numerous ways such as, as a uniqueness evidence to get public amenities, for polling during ballot vote of Central National Assembly, as a transit manuscript for UAE residents to the GCC, also can be used as a document to pass immigration via the Electronic-Gates and smart entrance at the UAE airports. A few years later, some companies started to use the same identity card issued by the National Identity Card Authority (ICA) for other purposes. From the time when ICA was established, it has specified in giving ID and validation amenities of distinctiveness for persons to central and confined administration establishments plus all additional bodies which influence the solutions appropriate in this respect. The authorities have mandated ICA, for duties such as, the mandate to demand the required facts and data from the proficient establishments in the Nation to deliver its goals. This paper is going to discuss the potential applications for the electronic identity card and how its uses can be expanded to explore new areas of usage to ease and reduce the possession of many other cards, having all the information needed to access the day-to-day services with one electronic card.