Invariant moment features for fingerprint recognition

Author

Liang-Wei Chen ; Chao-Rong Li

Author_Institution

Dept. of Inf. & Eng., Chengdu Aeronaut. Vocational & Tech. Coll., Chengdu, China

fYear

2013

fDate

17-19 Dec. 2013

Firstpage

91

Lastpage

94

Abstract

A method of invariant moment features for fingerprint recognition is proposed based on the global structure of fingerprint. The invariant moment features are calculated on the region of interest (ROI). The ROI is cropped from fingerprint image based on the reference point. Because the invariant moments are invariant under rotation the proposed method calculates the fingerprint features without pre-alignment. The experiments results show the proposed method can extracted discriminative fingerprint feature.

Keywords

feature extraction; fingerprint identification; image segmentation; ROI cropping; discriminative fingerprint feature extraction; fingerprint image recognition; global fingerprint structure; invariant moment features; reference point; region of interest; Euclidean distance; Feature extraction; Fingerprint recognition; Fingers; Gabor filters; Image matching; Finterprint recognition; feature extraction; invariant moment feature;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2013 10th International Computer Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4799-2445-5

Type

conf

DOI

10.1109/ICCWAMTIP.2013.6716606

Filename

6716606