15-12-2025
جامعة الملك عبدالعزيز
KING ABDULAZIZ UNIVERSITY
Faculty of Computing and Information Technology in Rabigh
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 Type
Dr Grade
Email
ذو الكفل محمد
Mohamada, Dzulkifli
Researcher
Doctorate
dyakoob@kau.edu.sa
Files
File Name
Type
Description
28878.pdf
pdf
Fingerprint verification using statistical descriptors
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