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×÷ÕߣºShui-ping Wang, Xiao-fang Pei, Ling-zhi Liao, Yin-nan Zhao.
ÌâÄ¿£ºCenter Point Detection of Fingerprint Based on Direction Mean Value Difference.
ÆÚ¿¯Applied Informatics and Communication, Communications in Computer and Information Science,
2011,
Volume 225,
Part 2,
631-637.
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Record 1 from Compendex for: ((Center Point Detection of Fingerprint Based on Direction Mean Value Difference) WN All fields), 1969-2012

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  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¡Á8 and 16¡Á16 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



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Wang, S.-P.
Pei, X.-F.
Liao, L.-Z.

Zhao, Y.-N.
  
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