Image enhancement and minutiae matching in fingerprint verification
Pattern Recognition Letters
Fingerprint Matching Based on Global Comprehensive Similarity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation of fingerprint images using linear classifier
EURASIP Journal on Applied Signal Processing
Technical Communication: A fast fingerprint image enhancement algorithm using a parabolic mask
Computers and Electrical Engineering
Fingerprint Matching Based on Neighboring Information and Penalized Logistic Regression
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Fingerprint matching with registration pattern inspection
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Improving minutiae detection in fingerprints using multiresolution contrast enhancement
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
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Fingerprint enhancement is a critical step in fingerprint identification. Most of the existing enhancement algorithms are based on local ridge direction. The main drawback of these methods lies in the fact that false estimate of local ridge direction will lead to poor enhancement. However, the estimate of local ridge directions is unreliable in the areas corrupted by noise where enhancement is most needed. In this paper, we proposed a rule-based method to do fingerprint enhancement. We introduced human knowledge about fingerprints into the enhancement process in the form of rules and simulate what an expert will do to enhance a fingerprint image. In our method, the skeleton image is used to give ridge connection information for the enhancement of the binary image. Experiments show our algorithm is fast and has excellent performance.