A new algorithm of incomplete fingerprint segmentation based on LBP

Author

Zhang, Bo ; Zhang, Jie ; Jiang, Haixia ; Jing, Xiaojun

Author_Institution

Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2011

fDate

15-17 Sept. 2011

Firstpage

610

Lastpage

613

Abstract

A novel segmentation method is proposed for incomplete fingerprint based on Local Binary Pattern (LBP). Firstly, the feature vector, based on orientation coherence, orientation entropy and gray, is defined for segmentation with SVM. Secondly, According to the problem of segmentation with SVM, with the texture of non-statistical LBP, fuzzy criterion is used for modifying segmentation. The fingerprint segmentation of the incomplete area is re-computed and measured with correlation and competition of texture, which is based on LBP. The performance of the new method is evaluated on FVC2004 database. The experimental results indicate that the proposed algorithm is effective for incomplete fingerprint.

Keywords

fingerprint identification; image segmentation; image texture; support vector machines; visual databases; FVC2004 database; LBP; SVM; feature vector; image texture; incomplete fingerprint segmentation; local binary pattern; orientation coherence; orientation entropy; support vector machines; Algorithm design and analysis; Classification algorithms; Coherence; Entropy; Fingerprint recognition; Image segmentation; Support vector machines; Local Binary Pattern; fuzzy criterion; incomplete fingerprint; segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Cloud Computing and Intelligence Systems (CCIS), 2011 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-61284-203-5

Type

conf

DOI

10.1109/CCIS.2011.6045142

Filename

6045142