Document Details

Document Type : Article In Journal 
Document Title :
Fingerprint verification using statistical descriptors
بصمة التحقق باستخدام الصفات الإحصائية
 
Subject : Computer Science 
Document Language : English 
Abstract : The importance of high precision matching in fingerprint cannot be over-emphasized. This paper presents a novel fingerprint verification algorithm which improves matching accuracy by overcoming the shortcomings of poor image quality. The proposed method involves determination of a singular point using orientation field reliability, extraction of a square-sub-image (SSI); 129×129 pixels, statistical analysis of the co-occurrence matrices as well as application of dual analyses on experimental results; Pattern Recognition and Image Processing Laboratory (FVC2002) testing protocol and Program for Rate Estimation and Statistical Summaries (PRESS). The efficiency of the proposed method has been demonstrated by the experimental results which show equal error rate (EER) of 28% and a comparatively more accurate and robust means for reliable fingerprint verification. 
ISSN : 1051-2004 
Journal Name : Digital Signal Processing 
Volume : 20 
Issue Number : 4 
Publishing Year : 1431 AH
2010 AD 
Article Type : Article 
Added Date : Sunday, February 6, 2011 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
ذو الكفل محمدMohamada, Dzulkifli ResearcherDoctoratedyakoob@kau.edu.sa

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 28878.pdf pdfFingerprint verification using statistical descriptors

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