A comparative study on quality assessment of high resolution fingerprint images

High resolution fingerprint images have been increasingly used in fingerprint recognition. They can provide more fine features (e.g. pores) than standard fingerprint images to improve the recognition accuracy. It is however still an open issue whether or not existing quality assessment methods are suitable for high resolution fingerprint images. This paper compares some typical quality indexes by analyzing the correlation between them and their prediction ability on minutia-based and pore-based high resolution fingerprint recognition accuracy. Experimental results show that the indexes based on ridge orientation are more effective for high resolution fingerprint recognition systems.

[1]  Richa Singh,et al.  Quality-augmented fusion of level-2 and level-3 fingerprint information using DSm theory , 2009, Int. J. Approx. Reason..

[2]  Jianjiang Feng,et al.  Combining minutiae descriptors for fingerprint matching , 2008, Pattern Recognit..

[3]  LinLin Shen,et al.  Quality Measures of Fingerprint Images , 2001, AVBPA.

[4]  Charles L. Wilson,et al.  A novel approach to fingerprint image quality , 2005, IEEE International Conference on Image Processing 2005.

[5]  Xudong Jiang,et al.  Fingerprint image quality analysis , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[6]  Anil K. Jain,et al.  Fingerprint Quality Indices for Predicting Authentication Performance , 2005, AVBPA.

[7]  Anil K. Jain,et al.  Handbook of Fingerprint Recognition, Second Edition , 2009 .

[8]  David Zhang,et al.  Direct Pore Matching for Fingerprint Recognition , 2009, ICB.

[9]  David Zhang,et al.  High resolution partial fingerprint alignment using pore-valley descriptors , 2010, Pattern Recognit..

[10]  Anil K. Jain,et al.  Pores and Ridges: High-Resolution Fingerprint Matching Using Level 3 Features , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

[12]  Xudong Jiang,et al.  Fingerprint quality and validity analysis , 2002, Proceedings. International Conference on Image Processing.

[13]  Julian Fiérrez,et al.  A Comparative Study of Fingerprint Image-Quality Estimation Methods , 2007, IEEE Transactions on Information Forensics and Security.