2026-09-21T09:49:09Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4490 2021-12-13T02:00:10Z 1582963302567:1597824273898 user-ucsy

Fingerprint Recognition System based on Orientation and Texture Features Win, Zin Mar Sein, Myint Myint 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. 2012-02-28 http://hdl.handle.net/20.500.12678/0000004490 https://meral.edu.mm/records/4490