An effective algorithm for fingerprint reference point detection

It is very important to detect the reference point effectively and accurately, especially in nonminutiae based fingerprint matching and fingerprint classification. In this paper, an effective algorithm based on block level for fingerprint reference point detection is proposed to simplify detection process and improve accuracy of the position of the point. The method is simple in the preprocessing and easy to implement. We used the Poincare Index on the block level, which is combined with the adaptive smoothing for getting a better orientation map and the directional consistency factor with the purpose of choosing the correct block. The proposed algorithm has been tested on fvc2002 and fvc2004 database. Experimental results show it is effective and practical.

[1]  Neeta Awasthy,et al.  Nonminutiae Based Fingerprint Matching , 2009, 2009 International Association of Computer Science and Information Technology - Spring Conference.

[2]  Qiong Li,et al.  Performance Evaluation of Fingerprint Orientation Estimation Algorithms , 2007, Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007).

[3]  Sun Le-chang.  Singular Point Detection of Fingerprint Based on Direction , 2007 .

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

[5]  You Lin,et al.  An Adaptive Algorithm for Smoothing Fingerprint Orientation Fields , 2009, 2009 International Conference on Computational Intelligence and Natural Computing.

[6]  M. Tico,et al.  Fingerprint classification based on multiple discriminant analysis , 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

[7]  Yilong Yin,et al.  A New Robust Method of Singular Point Detection from Fingerprint , 2008, 2008 International Symposium on Information Science and Engineering.

[8]  Jie Zhou,et al.  A model-based method for the computation of fingerprints' orientation field , 2004, IEEE Transactions on Image Processing.

[9]  H. K. Abhyankar,et al.  Fingerprint verification based on fixed length square finger code , 2005, 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05).

[10]  Sharath Pankanti,et al.  Filterbank-based fingerprint matching , 2000, IEEE Trans. Image Process..