Proceedings ArticleDOI
Quality Induced Fingerprint Identification using Extended Feature Set
Mayank Vatsa,Richa Singh,Afzel Noore,Sanjay Singh +3 more
- pp 1-6
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TLDR
Experiments conducted on a high resolution fingerprint database containing rolled, slap and latent images indicate that the novel algorithm presented offers significant benefits for fast fingerprint identification.Abstract:
Automatic fingerprint identification systems use level-1 and level-2 features for fingerprint identification. However, forensic examiners utilize inherent level-3 details along with level-2 features. Existing level-3 feature extraction algorithms are computationally expensive to be used for identification. This paper presents a novel algorithm for fast level-3 feature extraction and identification. The algorithm starts with computing local image quality score using redundant discrete wavelet transform. A fast curve evolution algorithm is then used to extract four level-3 features namely, pores, ridge contours, dots, and incipient ridges. Along with level-1 and level-2 features, these level-3 features are used in a Delaunay triangulation based indexing algorithm. Finally, quality-based likelihood ratio is used to further improve the identification performance. Experiments conducted on a high resolution fingerprint database containing rolled, slap and latent images indicate that the algorithm offers significant benefits for fast fingerprint identification.read more
Citations
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Journal ArticleDOI
Minutiae Fusion Based Framework for Thumbprint Identification of Identical Twins
TL;DR: This research paper presents minutiae coordinates and orientation angles fusion based technique for thumbprint identification of identical twins and observed in experiments that the proposed method is accurately differentiating the identical twins of self generated and FVC datasets.
Framework for biometric match score fusion using statistical and belief models
TL;DR: This chapter presents a framework for multi-biometric match score fusion when non-ideal conditions cause conflict in the results of different unimodal biometrics classifiers.
Proceedings Article
Evaluation of Biometric Systems: An SVM-Based Quality index
TL;DR: An SVM-based method to compute the quality of a biometric sample using two information, based on the image quality and the pattern-based metrics using the SIFT keypoints extracted from the image.
Proceedings ArticleDOI
Fingerprint pores extractor
TL;DR: An algorithm to extract feature level 3 (pores) is proposed that uses Laplacian of Gaussian in Fourier domain in Fouriers domain in order to reduce computation and is tested on two distinct databases with different resolutions to validate its accuracy.
Journal ArticleDOI
An Efficient Reconfigurable Architecture for Fingerprint Recognition
TL;DR: An efficient Finite State Machine FSM based reconfigurable architecture for fingerprint recognition using fusion scores with correlation matching technique for FVC2004 DB3 Database is proposed and performance parameters such as TSR Total Success Rate, FAR False Acceptance Rate, and FRR False Rejection Rate are computed.
References
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Active contours without edges
Tony F. Chan,Luminita A. Vese +1 more
TL;DR: A new model for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford-Shah (1989) functional for segmentation and level sets is proposed, which can detect objects whose boundaries are not necessarily defined by the gradient.
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TL;DR: This unique reference work is an absolutely essential resource for all biometric security professionals, researchers, and systems administrators.
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TL;DR: This chapter discusses Graphics, Image Processing, and Pattern Recognition, and the Reconstruction techniques used in this program, as well as some of the problems faced in implementing this program.
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TL;DR: Details multi-modal biometrics and its exceptional utility for increasingly reliable human recognition systems and the substantial advantages of multimodal systems over conventional identification methods.