Detecting fingerprint minutiae by run length encoding scheme
Pattern Recognition
Fingerprint analysis and singular point detection
Pattern Recognition Letters
Enhanced SEA algorithm and fingerprint classification
International Journal of Computer Applications in Technology
Fingerprint image: pre- and post-processing
International Journal of Biometrics
Fingerprint Image Postprocessing Using Windowing Technique
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
ATPDI: a computational definition of fingerprint singular points
International Journal of Information Technology and Management
Cancelable key-based fingerprint templates
ACISP'05 Proceedings of the 10th Australasian conference on Information Security and Privacy
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The flow pattern of ridges in a fingerprint is unique to the person in that no two people with the same fingerprints have yet been found. Fingerprints have been in use in forensic applications for many years and, more recently, in computer-automated identification and authentication. For automated fingerprint image matching, a machine representation of a fingerprint image is often a set of minutiae in the print; a minimal, but fundamental, representation is just a set of ridge endings and bifurcations. Oddly, however, after all the years of using minutiae, a precise definition of minutiae has never been formulated. We provide a formal definition of a minutia based on the gray scale image. This definition is constructive, in that, given a minutia image, the minutia location and orientation can be uniquely determined.