DEVELOPING A BIOMETRIC AUTHENTICATION SYSTEM USING DYNAMIC SIGNATURE VERIFICATION: STATISTICAL LEARNING AND SOFT COMPUTING APPROACHES

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" DEVELOPING A BIOMETRIC AUTHENTICATION SYSTEM USING DYNAMIC SIGNATURE VERIFICATION: STATISTICAL LEARNING AND SOFT COMPUTING APPROACHES "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	150370
Doc. No	:	ET22162
Main Entry	:	Yenwei Lee
Title Proper	:	DEVELOPING A BIOMETRIC AUTHENTICATION SYSTEM USING DYNAMIC SIGNATURE VERIFICATION: STATISTICAL LEARNING AND SOFT COMPUTING APPROACHES
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Biometrics utilizes physiological or behavioral characteristics or traits to verify an individualidentity. Signature is a behavioral biometric. Signature is already the most widely acceptedbiometric for identity verification, so it is more suitable for certain automatic authenticationneeds. Dynamic signature verification using signatures captured by a pressure-sensitive tabletcan be applied in real time authentication applications like credit card transactions or networkingresource accesses. In this research, a dynamic signature verification system was developed whichconsists of three modules: preprocessing module, verification module, and decision module....,..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	:	TL45366.pdf
Title and statement of responsibility and	:	DEVELOPING A BIOMETRIC AUTHENTICATION SYSTEM USING DYNAMIC SIGNATURE VERIFICATION: STATISTICAL LEARNING AND SOFT COMPUTING APPROACHES [Thesis]