Title :
A thinning method for fingerprint image based on Hit-Miss Transformation
Author :
Wen, Chunyou ; Ao, Guangwu ; Tian, Ying
Author_Institution :
Sch. of Higher Vocational Technol., Univ. of Sci. & Technol. Liaoning, Anshan, China
Abstract :
Thinning for fingerprint image is an important part of fingerprint image preprocessing. Effective thinning can reduce the time of subsequent processing and the number of false minutia. In this paper, a superior fingerprint thinning method based on HMT is proposed. Not only did we compare experimental results of this method with that of skeletal method by vision, but also we make the quantitative analysis of number of false minutiae. Therefore the fine effect is proved.
Keywords :
computer vision; fingerprint identification; image thinning; transforms; false minutia; fingerprint image; fingerprint image preprocessing; hit-miss transformation; skeletal method; subsequent processing; thinning method; vision; Computers; Feature extraction; Fingerprint recognition; Image matching; Morphology; Pixel; Skeleton; HMT; fingerprint image; thinning;
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-8727-1
DOI :
10.1109/CSAE.2011.5953209
