Title :
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
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;
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
DOI :
10.1109/ICCWAMTIP.2013.6716606
