DIFFERENT TECHNIQUES USED IN THE PROCESS OF FEATURE EXTRACTION FROM FINGERPRINT
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Abstract
A large numberof fingerprint images are collected and savedto use forvarious systems for example likeaccess controlsystemand identification protocols(ID). The algorithm for automatic fingerprint matching performs search operationand comparisons with already enrolled fingerprint. The biometric recognitionsystemis operated withtwo basicpremises: the first thing is that digital patternmust have permanent details, and the second thing is the unit of information. From thesetwo basicpremises, a system extractsthefeatures fromdigital fingerprint image and thenthrough matching algorithm itcompares the extracteddata in the verification systemor identification system.The Features Extraction techniques must be used to obtain the information from fingerprintin order to enrol a new fingerprint or to match with the fingerprint stored in database. The information extractiontechniques are followed bythree important stepsbinarization, thinning and features extraction algorithms which are computationaland mathematicaloperationsthat can be applied to process the information of digital imagesused forscientific researchpurpose and security protocols. This paper results incomparison ofthresholding algorithms (global thresholding and adaptive local thresholding), thinning algorithms anda feature extractionalgorithmto evaluate the best performance of the algorithms in fingerprint matching technique. Theresults giveout the positive as well asnegative sidesof the different algorithms.
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