Blind Digital Watermarking Technique Research Articles

A Compound Blind Digital Watermarking Technique for Image Authentication and Integrity using DCT and VC

this paper we propose a multiple digital watermarking scheme using DCT and VC to achieve both image authentication and integrity. We used two watermarks for embedding in to the host image. Unlike traditional watermarking schemes, the second watermarks are not embedded directly into the host image. The proposed technique proves that it is resilient to several attacks. Keywordigital watermarking, visual cryptography, DCT

Non Blind Digital Watermarking Technique Using DWT and Cross Chaos

Watermarking techniques have been developed to protect digital images against illegal reproductions and illegal modifications. In this paper, a non-blind digital image watermarking algorithm based on Discrete wavelet transform, Cross chaotic map and Arnold transform, has been described. Initially, Discrete wavelet transformation is done and the medium frequency coefficients are extracted as the embedding field. Then, Arnold's transformation and Cross chaotic sequence are used to encrypt the watermark and the medium frequency coefficients of the watermark image are extracted to be embedded into the original image. It is a kind of non-blind scheme as the extraction needs the original image. Peak signal to noise ratio (PSNR) is used to evaluate the algorithm. The quality of the extracted watermark is evaluated using term Normalized cross-correlation (NC). From the results, it may be concluded that the modified algorithm is resistant enough against the common attacks.

A novel blind digital watermarking technique for Stegano-encrypting information using nine-ac-coefficient prediction algorithm with an innovative security strategy

This paper presents a new methodology for data hiding using digital watermarking in the DCT Domain. The methodology relies on a new scheme for encrypting the data prior to the embedding stage. The key used for ciphering is almost of arbitrary length, type and format; this endows the watermark with a powerful, 3-level reinforced security structure. It is a blind-detector watermarking technique and the amount of the hidden data is increased by 60% compared with the traditional AC-Coefficients Prediction algorithm while sustaining a high level of transparency. Simulation results were carried out which demonstrated a promising PSNR, limited blocking artifacts, and a satisfactory level of the overall performance. The paper also presents an extensive survey of prominent digital-watermarking research outcomes in the WSEAS Transactions.

Embedding biometric identifiers in 2D barcodes for improved security

Two-dimensional (2D) barcode symbology is an emerging technology used for compactly storing and retrieving information. These barcodes can be found on the back of drivers' licenses and are encoded with secure text data. Standard 2D barcode such as PDF417 uses upper and lowercase alphabets, numeric digits and special characters for encoding. Some barcodes also include a compressed photo of the individual. The visual quality of the compressed image is usually poor and occupies a large amount of space which greatly reduces the capacity needed for encoding text. This paper presents a novel approach for embedding uncompressed images in a standard PDF417 2D barcode using a blind digital watermarking technique. The text is encoded in the standard PDF417 format with error correction, while the face and fingerprint images are watermarked in the encoded 2D barcode. Experimental results show that the proposed technique effectively increased the standard capacity of the PDF417 2D barcode without altering the contents of the encoded data. The results also show that the visual quality of the extracted photo image is high. The extracted fingerprint image when compared with the original fingerprint using an AFIS system yielded a high matching score.