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作者：Shui-ping Wang, Xiao-fang Pei, Ling-zhi Liao, Yin-nan Zhao. 题目：Center Point Detection of Fingerprint Based on Direction Mean Value Difference. 期刊Applied Informatics and Communication, Communications in Computer and Information Science, 2011, Volume 225, Part 2, 631-637. |
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已经检索，楼主的论文跟我仪器的！是被paciia2010转投过去的吧？ Search History - Selected Records - My Profile - My Alerts Abstract - Detailed - Record 1 from Compendex for: ((Center Point Detection of Fingerprint Based on Direction Mean Value Difference) WN All fields), 1969-2012 Check record to add to Selected Records 1. Accession number: 20113614307542 Title: Center point detection of fingerprint based on direction mean value difference Authors: Wang, Shui-Ping1, 2 ; Pei, Xiao-Fang3 ; Liao, Ling-Zhi1 ; Zhao, Ying-Nan1 Author affiliation: 1 College of Computer Science and Technology, Nanjing University of Information Science and Technology, Nanjing, China 2 Department of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China 3 College of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China Corresponding author: Wang, S.-P. (ShuipingWang036@163.com) Source title: Communications in Computer and Information Science Abbreviated source title: Commun. Comput. Info. Sci. Volume: 225 CCIS Issue: PART 2 Monograph title: Applied Informatics and Communication - International Conference, ICAIC 2011, Proceedings Issue date: 2011 Publication year: 2011 Pages: 631-637 Language: English ISSN: 18650929 ISBN-13: 9783642232190 Document type: Conference article (CA) Conference name: 2011 International Conference on Applied Informatics and Communication, ICAIC 2011 Conference date: August 20, 2011 - August 21, 2011 Conference location: Xi'an, China Conference code: 86306 Publisher: Springer Verlag, Tiergartenstrasse 17, Heidelberg, D-69121, Germany Abstract: Directional pattern is a representation of original fingerprint image. This paper proposes one algorithm based on direction mean value difference to detect fingerprint center point. To realize this algorithm mainly includes detecting point direction of each pixel and configuring block patterns with 8×8 and 16×16 ranges. Experimental results show the algorithm has good robustness and can easily wipe off the false center point detected from the fingerprints. © 2011 Springer-Verlag. Number of references: 8 Main heading: Pattern recognition Controlled terms: Algorithms - Information science Uncontrolled terms: Block patterns - Center points - core point - Detecting point - Directional field - Fingerprint images - fingerprints - Mean values Classification code: 716 Telecommunication; Radar, Radio and Television - 723 Computer Software, Data Handling and Applications - 903 Information Science - 921 Mathematics DOI: 10.1007/978-3-642-23220-6_80 Database: Compendex Compilation and indexing terms, © 2012 Elsevier Inc. Tools in Scopus Author Details: View Author Details in Scopus; Wang, S.-P. Pei, X.-F. Liao, L.-Z. Zhao, Y.-N. View All Authors Learn more about Scopus Add a tag PublicPrivateMy InstitutionLogin for groups del.icio.us Full-text and Local Holdings Links Full Text Links About Ei - About Engineering Village - Feedback - Privacy Policy - Terms and Conditions © 2012 Elsevier Inc. All rights reserved. |
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