Examination verification system using biometric
Table Of Contents
Thesis Abstract
Thesis Overview
My research Project is to develop fingerprint biometrics systems that assist in the elimination of examination impersonation. Up till now, the WAEC examination board (WAEC) is not using fingerprint as mode of identification, this has resulted in people sitting for WAEC examinations for others who collect the result at the end. With the adoption of fingerprint, this will be eliminated as fingerprint; this will be eliminated as fingerprint identification will also be employed during collection of results and certificates.
This target can be mainly decomposed into image preprocessing, feature extraction and feature match. For each sub-task, some classical and up-to-date methods in literatures are analyzed. Based on the analysis, an integrated solution for fingerprint recognition is developed for demonstration. My demonstration program is coded using visual studio for the program, some optimization at coding level and algorithm level are proposed to improve the performance of my fingerprint recognition system. These performance enhancements are shown by experiments conducted upon a variety of fingerprint images. Also, the experiments illustrate the key issues of fingerprint recognition that are consistent with what the available literatures say. Main objective is to eliminate any form impersonation during exam by employing a more secured means of fingerprint biometrics.
Up till now, the WAEC examination board (WAEC) is not using fingerprint as mode of identification, this has resulted in people sitting for WAEC examinations for others who collect the result at the end. With the adoption of fingerprint, this will be eliminated as fingerprint; this will be eliminated as fingerprint identification will also be employed during collection of results and certificates.
This target can be mainly decomposed into image preprocessing, feature extraction and feature match. For each sub-task, some classical and up-to-date methods in literatures are analyzed. Based on the analysis, an integrated solution for fingerprint recognition is developed for demonstration. My demonstration program is coded using visual studio for the program, some optimization at coding level and algorithm level are proposed to improve the performance of my fingerprint recognition system. These performance enhancements are shown by experiments conducted upon a variety of fingerprint images. Also, the experiments illustrate the key issues of fingerprint recognition that are consistent with what the available literatures say. Main objective is to eliminate any form impersonation during exam by employing a more secured means of fingerprint biometrics.
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