Segmentation of fingerprint images using linear classifier

Authors:
Xinjian Chen;Jie Tian;Jiangang Cheng;Xin Yang
Affiliations:
Intelligent Bioinformatics Systems Division, Institute of Automation, The Chinese Academy of Sciences, Beijing, China;Intelligent Bioinformatics Systems Division, Institute of Automation, The Chinese Academy of Sciences, Beijing, China;Intelligent Bioinformatics Systems Division, Institute of Automation, The Chinese Academy of Sciences, Beijing, China;Intelligent Bioinformatics Systems Division, Institute of Automation, The Chinese Academy of Sciences, Beijing, China
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2004

Citing 5
Cited 13

Segmentation of fingerprint images using the directional image

Pattern Recognition
Fundamentals of digital image processing

Fundamentals of digital image processing
Segmentation of fingerprint images—a composite method

Pattern Recognition
Statistical Pattern Recognition: A Review

IEEE Transactions on Pattern Analysis and Machine Intelligence
Knowledge Based Fingerprint Image Enhancement

ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4

Direct Pore Matching for Fingerprint Recognition

ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
An efficient watermarking technique for the protection of fingerprint images

EURASIP Journal on Information Security
Complementary variance energy for fingerprint segmentation

MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Combining features for distorted fingerprint matching

Journal of Network and Computer Applications
K-means based fingerprint segmentation with sensor interoperability

EURASIP Journal on Advances in Signal Processing
Fingerprint segmentation based on an AdaBoost classifier

Frontiers of Computer Science in China
A novel ant colony optimization algorithm for large-distorted fingerprint matching

Pattern Recognition
Enhancement of low quality fingerprints based on anisotropic filtering

ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
A method based on the markov chain monte carlo for fingerprint image segmentation

FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Fingerprint image segmentation based on quadric surface model

AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
A robust orientation estimation algorithm for low quality fingerprints

IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
Quality-based fingerprint segmentation

ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
Robust point-based feature fingerprint segmentation algorithm

ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics

Quantified Score

Hi-index	0.00

Visualization

Abstract

An algorithm for the segmentation of fingerprints and a criterion for evaluating the block feature are presented. The segmentation uses three block features: the block clusters degree, the block mean information, and the block variance. An optimal linear classifier has been trained for the classification per block and the criteria of minimal number of misclassified samples are used. Morphology has been applied as post processing to reduce the number of classification errors. The algorithm is tested on FVC2002 database, only 2.45% of the blocks are misclassified, while the postprocessing further reduces this ratio. Experiments have shown that the proposed segmentation method performs very well in rejecting false fingerprint features from the noisy background.