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Research Paper | Computer Science & Engineering | India | Volume 7 Issue 9, September 2018

Improved Neuro-Fuzzy Approach for Finger Print Recognition

Reena Mittal | Deepika Arora ^[2]

Abstract: Bi-metri shemes wrk n intertive bi-metri fts t disver ny given persn. The mst nt unusul used bimetri prmeters re signture, fingerprints, Fe, keystrke nd iris these bimetris vry with envirnment nd ge. Fingerprint uthentitin sttes the r-mted wy f identifying unterprt among humns the usge f their fingerprints. Hwever, their individulity nd unifrmity ver they hve been used fr terribly lng time, s extr these dys fingerprints hve grw t be utmti beuse f enhnements in mputing. Fingerprint ltertin is the methd t the nsiderte bfustin f the fingerprints vi ll nd sundry fr prteting his/her identity. Fingerprint tegry refers bk t the prblem f ssigning fingerprints t ne f numerus pre-prtiulr trining. utmted lss n be used s pre-pressing step fr fingerprint mthing, reduing mthing time nd mplexity by mens f nrrwing the quest re t subset f usully lrge dtbse. mputerized fingerprint identity is ne f the mximum imprtnt bimetri tehnlgies. s wy t effiiently suit fingerprints in huge dtbse, n indexing sheme is vitl. Fingerprint tegry, whih refers t ssigning fingerprint piture int number f pre-speifi instrutins, gives vible indexing mehnism. In prtie, hwever lrge intr-elegne nd smll interlss vritins in wrldwide smple nfigurtin nd pr plesnt f fingerprint phts mke the lssifitin truble very tugh. fingerprint lssifitin lgrithm requires rbust feture extrtr whih need t be ble t dependble extrt slient funtins frm input imgesIndex TermsFinger Print Regnitin, utmted fingerprint regnitin systems (FRSs), Pttern regnitin.

Keywords: Fingerprint recognition, Image recognition, performance improvement, fingerprint biometric recognition system, biometric characteristics, authentication

Edition: Volume 7 Issue 9, September 2018,

Pages: 455 - 460

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