Fingerprint Composition-Feature Extraction Using Directional Filter Banks

Author

Li Chao Rong ; Huang Ming Qing ; Jianping, Li

Author_Institution

Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2011

fDate

3-4 Dec. 2011

Firstpage

550

Lastpage

554

Abstract

A method for fingerprint composition-feature extraction by using directional filter banks is proposed. the proposed method decomposes a fingerprint image into eight directional sub bands using directional filter banks and then computes the composition-feature from each sector, corresponding to each directional sub band, segmented from the interested region. The composition-feature consists of mean feature and deviation feature and it can well represent the local feature of a sector. Experimental results show the effectiveness of the proposed method.

Keywords

channel bank filters; feature extraction; fingerprint identification; image segmentation; deviation feature; directional filter banks; directional subbands; fingerprint composition feature extraction; fingerprint image decomposition; interested region; local feature; mean feature; Feature extraction; Filter banks; Filtering theory; Fingerprint recognition; Gabor filters; Image matching; Vectors; composition-feature; directional filter banks; feature extraction; feature matching; fingerprint;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Security (CIS), 2011 Seventh International Conference on

Conference_Location

Hainan

Print_ISBN

978-1-4577-2008-6

Type

conf

DOI

10.1109/CIS.2011.127

Filename

6128183