Efficient gradual segmentation of fingerprint images

Authors:
Liu Wei;Zhou Cong;Yan Puliu;Xia Delin
Affiliations:
College of Electronic Information, Wuhan University, Wuhan, Hubei, China;Department of Civil Engineering, Hubei University of Technology, Wuhan, Hubei, China;College of Electronic Information, Wuhan University, Wuhan, Hubei, China;College of Electronic Information, Wuhan University, Wuhan, Hubei, China
Venue:
MUSP'06 Proceedings of the 6th WSEAS international conference on Multimedia systems & signal processing
Year:
2006

Citing 5
Cited 0

A Tree System Approach for Fingerprint Pattern Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence - Special memorial issue for Professor King-Sun Fu
Segmentation of fingerprint images using the directional image

Pattern Recognition
Segmentation of fingerprint images—a composite method

Pattern Recognition
On-Line Fingerprint Verification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Image Enhancement: Algorithm and Performance Evaluation

IEEE Transactions on Pattern Analysis and Machine Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

A new algorithm for fingerprint image segmentation is presented. Gradual segmentation algorithm and multi segmentation features are used to segment fingerprint image in two steps. First we get the whole fingerprint region from image, and then the well-defined region and recoverable corrupted region are segmented from first step result. Region-growing method is introduced in first step to make the algorithm more robust. This algorithm can take more accurate segmentation for various types of images based on large numbers of the experiments.