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Fingerprint Recognition System based on Orientation and Texture Features
http://hdl.handle.net/20.500.12678/0000004490
http://hdl.handle.net/20.500.12678/0000004490e3c10398-87a6-42dd-8e90-d7c60c1b110b
cfd3faa7-64bc-4c40-beb7-f77d1ccf40e5
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10067.pdf (440 Kb)
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Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Fingerprint Recognition System based on Orientation and Texture Features | |||||
Language | en_US | |||||
Publication date | 2012-02-28 | |||||
Authors | ||||||
Win, Zin Mar | ||||||
Sein, Myint Myint | ||||||
Description | ||||||
Fingerprint recognition is one of the mostwell-known and publicized biometrics forpersonal identification. Fingerprints exhibitoriented texture-like patterns. The textureinformation of the fingerprint can be used forfingerprint matching. Gabor filters can optimallycapture global and local texture informationeven from poor-quality or incomplete images.But Gabor filterbank-based approach use onlytexture information for fingerprint recognitionand it is not robust to image distortion androtation. In this paper, a hybrid fingerprintmatching algorithm is developed for identifyingthe low quality fingerprint images by combiningorientation features and the local texture patternobtained using a bank of Gabor filters. Theproposed matching approach is compared withthe filterbank-based approach, and the proposedsystem produces a much improved matchingperformance by combining the orientationfeatures to the filterbank-based features. | ||||||
Keywords | ||||||
Biometrics, fingerprints, fingerprint recognition, Gabor filters | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/2418 | |||||
Journal articles | ||||||
Tenth International Conference On Computer Applications (ICCA 2012) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |