FINGERPRINT IDENTIFICATION BY MOMENT INVARIANTS OF COMPUTER MOIRE PATTERNS

دانشگاه آزاد اسلامی اصفهان(خوراسگان)

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" FINGERPRINT IDENTIFICATION BY MOMENT INVARIANTS OF COMPUTER MOIRE PATTERNS "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	150988
Doc. No	:	ET22780
Main Entry	:	CARLOS CORAL-GOMEZ
Title Proper	:	FINGERPRINT IDENTIFICATION BY MOMENT INVARIANTS OF COMPUTER MOIRE PATTERNS
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	In this work, a new Automatic Fingerprint Identification method as a biometrictechnique for personal identification is proposed. A review on the fingerprintidentification problem is presented. It is shown that similarly to the local"minutiae" based fingerprint representation, a simpler global ridge-basedfiagerprint representation may be successfully used for fingerprint identificationand verification, if an appropriate global metric of similarity between fingerprints.can be found. A new global representation of fingerprints suitable for fingerprintrecognition is obtained by computation of moire patterns from binary fingerprints.A simple straightforward algorithm for automatic binarization of gray-scalefingerprint images is developed. It is based on a Laplacian edge detector kernel. aGaussian pre-filter, and a median filter, and do not resort to the use of brightnesshistograms. Further, a new method of fingerprint recognition based on thecomputation of moment invariants of fingerprint moire patterns is proposed. In apreliminary stage, the method is tested with an available database of 12 gray-scale fingerprint images which produce a total of 132 entries. At this stage. asatisfactory performance up to 86.4 8..,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL46006.pdf
Title and statement of responsibility and	:	FINGERPRINT IDENTIFICATION BY MOMENT INVARIANTS OF COMPUTER MOIRE PATTERNS [Thesis]