Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automated fingerprint recognition using structural matching
Pattern Recognition
Optimal infinite impulse response zero crossing based edge detectors
CVGIP: Image Understanding
Introduction to statistical signal processing with applications
Introduction to statistical signal processing with applications
A Real-Time Matching System for Large Fingerprint Databases
IEEE Transactions on Pattern Analysis and Machine Intelligence
On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining multiple matchers for a high security fingerprint verification system
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
A fast parallel algorithm for thinning digital patterns
Communications of the ACM
FVC2000: Fingerprint Verification Competition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Matching Using Transformation Parameter Clustering
IEEE Computational Science & Engineering
Biometrics: Personal Identification in Networked Society
Biometrics: Personal Identification in Networked Society
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Matching Images to Models for Registration and Object Detection via Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
Robust orientation field estimation and extrapolation using semilocal line sensors
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
On the influence of fingerprint area in partial fingerprint recognition
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
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Conventional algorithms for fingerprint recognition are mainly based on minutiae information. But it is difficult to extract minutiae accurately and robustly for elderly people, and one of the main reasons is that there are many creases on the fingertips of elderly people. In this paper, we study on the detection of creases from fingerprint images, in which we treat the creases as a special kind of texture and design an optimal filter to extract them. We also study the applications of crease detection results to improve the performance of fingerprint recognition in elderly people, which include two aspects. First, it is used to remove the falsely detected minutiae. Second, the creases can be treated as a novel feature for elderly people's fingerprints, which is combined with minutiae feature to improve the performance. Experimental results illustrate the effectiveness of proposed methods.