Finger-Knuckle-Print verification using Kekre's wavelet transform

Finger-Knuckle-Print is an emerging biometric trait. Because of high degree of uniqueness and low requirement of user co-operation it has got potential to become building block of future biometric security systems. In this paper we propose finger-knuckle-print verification using kekre's wavelets. Kekre's wavelets are based on kekre's transform and easy to construct. We discuss the feasibility of using kekre's wavelet to extract spectral features of the finger-knuckle-print and use them for verification. In this paper we have used wavelet energy feature, we have compared the results with Haar wavelets. Kekre's wavelet based features give moderate accuracy and performance is same as Haar wavelets.

[1]  David Zhang,et al.  Finger-knuckle-print: A new biometric identifier , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[2]  Arun Ross,et al.  Handbook of Biometrics , 2007 .

[3]  Ajay Kumar,et al.  Biometric Authentication using Finger-Back Surface , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[4]  Arun Ross,et al.  An introduction to biometric recognition , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[5]  Qiang Li,et al.  Personal Identification Using Knuckleprint , 2004, SINOBIOMETRICS.

[6]  Damon L. Woodard,et al.  Finger surface as a biometric identifier , 2005, Comput. Vis. Image Underst..

[7]  H. B. Kekre,et al.  Finger-Knuckle-Print Region of Interest Segmentation Using Gradient Field Orientation & Coherence , 2010, 2010 3rd International Conference on Emerging Trends in Engineering and Technology.

[8]  Damon L. Woodard,et al.  Personal identification utilizing finger surface features , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[9]  Anil K. Jain,et al.  Handbook of Fingerprint Recognition , 2005, Springer Professional Computing.

[10]  Ajay Kumar,et al.  Personal Authentication Using Finger Knuckle Surface , 2009, IEEE Transactions on Information Forensics and Security.

[11]  Loris Nanni,et al.  A multi-matcher system based on knuckle-based features , 2009, Neural Computing and Applications.

[12]  Lionel Torres,et al.  Person Identification Technique Using Human Iris Recognition , 2002 .

[13]  G. Sainarayanan,et al.  Palmprint identification using wavelet energy , 2007, 2007 International Conference on Intelligent and Advanced Systems.

[14]  David Zhang,et al.  Online finger-knuckle-print verification for personal authentication , 2010, Pattern Recognit..

[15]  David Zhang,et al.  Finger-Knuckle-Print Verification Based on Band-Limited Phase-Only Correlation , 2009, CAIP.

[16]  L. Ganesan,et al.  Face Recognition Using Multi-Resolution Transform , 2007, International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007).