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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]
 
 
 
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