Finger-vein identification using pattern map and principal component analysis

In this paper, we propose a new approach for finger-vein recognition which uses pattern map based on pixel-pattern-based texture feature (PPBTF) and principal component analysis (PCA). Instead of obtaining finger-vein features from multi-filtered images, we obtain the features from pattern map images. The pattern map images are generated from pattern templates which are the eigenveins obtained from PCA process. Every finger-vein image is transformed into pattern map images where edges and lines are used for characterizing the vein pattern information. PCA is then adopted to further reduce the dimension of the features and nearest neighbour is used for classification. Experiment results show that the proposed algorithm has higher identification rate compared to the existing method with only 40 features. This shows that pattern map is able to represent finger-vein pattern effectively.

[1]  Huchuan Lu,et al.  Automatic facial expression recognition based on pixel‐pattern‐based texture feature , 2010, Int. J. Imaging Syst. Technol..

[2]  Lawrence Sirovich,et al.  Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Jian-Da Wu,et al.  Finger-vein pattern identification using principal component analysis and the neural network technique , 2011, Expert Syst. Appl..

[4]  Bakhtiar Affendi Rosdi,et al.  Finger Vein Recognition Algorithm Using Phase Only Correlation , 2010, 2010 International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics.

[5]  Marco Winzker,et al.  2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011, Kuala Lumpur, Malaysia, November 16-18, 2011 , 2011, International Conference on Signal and Image Processing Applications.

[6]  Naoto Miura,et al.  Extraction of Finger-Vein Patterns Using Maximum Curvature Points in Image Profiles , 2007, MVA.

[7]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[8]  Jinfeng Yang,et al.  A novel finger-vein recognition method with feature combination , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[9]  Jinfeng Yang,et al.  Personal identification based on finger-vein features , 2011, Comput. Hum. Behav..

[10]  Hanqing Lu,et al.  Texture representation based on pattern map , 2004, Signal Process..

[11]  T. Ohyama,et al.  Human finger vein images are diverse and its patterns are useful for personal identification , 2007 .

[12]  Kang Ryoung Park,et al.  Finger vein recognition using minutia‐based alignment and local binary pattern‐based feature extraction , 2009, Int. J. Imaging Syst. Technol..