Title :
Application of Fuzzy Pattern Recognition on Fingerprint Processing
Author_Institution :
Sch. of Autom., Beijing Union Univ., Beijing, China
Abstract :
The presented fuzzy pattern recognition method based on intelligent reasoning logic has applied to fingerprint identification. The fuzzy characteristic and membership function are choosing for fuzzy matching. The recognition method based on membership function is used to make certain the starting point for pattern-matching. The similar template is found by recognition method based on closeness principle. At last, the recognition result is acquired by clustering analytical method. The method presented in the paper has high recognition rate and accuracy through the test.
Keywords :
fingerprint identification; fuzzy logic; fuzzy set theory; image matching; clustering analytical method; fingerprint identification; fuzzy matching; fuzzy pattern recognition method; intelligent reasoning logic; membership function; pattern-matching; Automation; Fingerprint recognition; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Image matching; Pattern analysis; Pattern matching; Pattern recognition; Uncertainty; Fuzzy recognition; fingerprint processing; membership function; pattern- matching;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.394