A Robust and Rapid Image Preprocessing Method for Finger Vein

Article Preview

Abstract:

In order to achieve robust and rapid image preprocessing for finger vein, this paper presents a robust and rapid image preprocessing method. With this method, locating & cropping, normalization, equalization and filtering are executed step by step. Then, quality assessment is done to exclude the images of low quality. The results of simulate experiments show that this method is effective and it is able to ensure reliable feature extraction.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 605-607)

Pages:

2126-2130

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Jirachaweng S, Hou Z J and Yau W Y, 2011. Residual orientation modeling for fingerprint enhancement and singular point detection. Pattern Recognition, 431-442.

DOI: 10.1016/j.patcog.2010.08.019

Google Scholar

[2] Liu M, Ni G, Chen X, 2007. Study on the preprocessing algorithm for vein images. Optical Technique, 255-260.

Google Scholar

[3] X. Zou, G. Liu, J. Wang. Application and study of wavelet transform in the QR code image preprocessing, 2010. 2010 2nd International Conference on Future Computer and Communication, V3: 450-453.

DOI: 10.1109/icfcc.2010.5497555

Google Scholar

[4] X. Jiang, L. Xu, Dean Ma, 2010. Volume Rendering Effect Analysis with Image Preprocessing Technology Based on Three Dimension Anisotropic Diffusion. 2010 Third International Symposium on Intelligent Information Technology and Security Informatics, 789-792.

DOI: 10.1109/iitsi.2010.173

Google Scholar

[5] W. Zhou, Z. Huang, N. Chang, 2009. Extraction and Using Methods of Directional Information in Fingerprint Identification Preprocessing Algorithm. 2009 First International Workshop on Education Technology and Computer Science, 953-957.

DOI: 10.1109/etcs.2009.751

Google Scholar

[6] X. Long, J. Zhou, 2009. Research of image preprocessing and corner detection in 3D measurement based on Ridgelet transform. IEEE International Conference on Granular Computing, 430-433.

DOI: 10.1109/grc.2009.5255085

Google Scholar

[7] Dai Y, Huang B, Li W, Xu Z, 2008. A Method for Capturing the Finger-vein Image Using Non-uniform Intensity Infrared Light. Congress on Image and Signal Processing, 501-505.

DOI: 10.1109/cisp.2008.654

Google Scholar

[8] D. Mulyono, H.S. Jinn, 2008. A study of finger vein biometric for personal identification. Proceedings of the International Symposium on Biometrics and Security Technologies, 1-8.

DOI: 10.1109/isbast.2008.4547655

Google Scholar

[9] WenHsiang Hsieh, 2012. Enhancement of Finger-Vein Image by Vein Line Tracking and Adaptive Gabor Filtering for Finger-Vein Recognition. Applied Mechanics and Materials, 219-223.

DOI: 10.4028/www.scientific.net/amm.145.219

Google Scholar