CLASSIFICATION OF FINGERPRINTS USING DIRECTIONAL IMAGES WITH AN ADAPTIVE APPROACH TO DETECT THE SINGULAR POINTS

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" CLASSIFICATION OF FINGERPRINTS USING DIRECTIONAL IMAGES WITH AN ADAPTIVE APPROACH TO DETECT THE SINGULAR POINTS "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	149030
Doc. No	:	ET20822
Main Entry	:	SANGEETHA MUKKAVILLI
Title Proper	:	CLASSIFICATION OF FINGERPRINTS USING DIRECTIONAL IMAGES WITH AN ADAPTIVE APPROACH TO DETECT THE SINGULAR POINTS
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	The technique presented here is a fast, feature-based one to classifyfingerprint images into five general groups. The uniqueness of this research is incombining the adaptive singular point detection algorithm with the coarseclassification one. The first step in the technique enhances the raw image andfinds the directional image. The core and delta correlation functions are thenfound. An adaptive threshold value is used to detect the singular points (delta andcore points) from the correlation functions. Depending on the position, thefingerprints are classified into the Wirbel.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL43967.pdf
Title and statement of responsibility and	:	CLASSIFICATION OF FINGERPRINTS USING DIRECTIONAL IMAGES WITH AN ADAPTIVE APPROACH TO DETECT THE SINGULAR POINTS [Thesis]