Abstract. Reference point detection is an important task in the design of an automated fingerprint identification system. Many algorithms have emerged with acceptable results but are mostly suitable for non-arch type fingerprint. It still remains as a challenging problem to reliably identify reference points for fingerprints of the arch type. A topological method is presented in this paper to detect reference points in arch type fingerprint images. To evaluate the performance, 400 arch type fingerprint image pairs in the NIST DB4 database are utilized. The alignment accuracy on average is about 35 pixels in distance and 9 degrees in orientation, which is very well comparable with respect to state-ofthe-arts as designed for non-arch type fingerprints.
A critical issue in the development of an automated fingerprint identification system (AFIS) is to detect the reference point accurately and reliably. Most existing techniques are based on the singular points of the fingerprint which is sensitive to fingerprint artifacts and is not well defined for arch type fingerprints. In this study, we present a topological interpretation of fingerprint reference point, where the reference points are posed as topological features of fingerprint structure and can be detected seamlessly from either arch type or non-arch type fingerprints. Extensive experiments demonstrate the advantages of the proposed method over the existing ones.
A region of interest (ROI) based fragile watermarking scheme for digital mammogram authentication is presented in this paper. Here, we propose a new mammogram segmentation scheme for the automatic definition of the ROI for a given mammogram. Difference Expansion based embedding techniques have been used to provide authentication features for the given mammogram. Furthermore, we have implemented the proposed watermarking scheme in both MATLAB and C. Through exploiting the inherent parallelism in the low level image processing layer, we have ported the scheme onto the CUDA platform to further accelerate the real time performance of the proposed scheme. Experimental results and discussions are presented towards the end of this paper.
Generally, the copy protection mark and 2D bar-code techniques are widely used for forgery protection in printed public documents. But, it is hard to discriminate truth from the copy documents by using exisiting methods, because of that existing 2D-barcode is separated from the copy protection mark and it can be only recognized by specified optical barcord scanner. Therefor, in this paper, we proposed the forgery protection tehchnique for discriminating truth from the copy document by using watermark inserted 2D-barcord, which can be accurately distinguished not only by naked eye, but also by scanner. The copy protection mark consists of deformed patterns that are caused by the lowpass filter characteristic of digital I/O device. From these, we verified the performance of the proposed techniques by applying the histogram analysis based on the original, copy, and scanned copy image of the printed documents. Also, we suggested 2D-barcord confirmation system which can be accessed through the online server by using certification key data which is detected by web-camera, cell phone camera.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.