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Vol.2 , No. 6, Publication Date: Sep. 28, 2015, Page: 262-269
| [1] | Md. Shahadat Hossain, Applied mathematics, Mathematics Discipline, Khulna University, Khulna, Bangladesh. |
| [2] | Md. Rafiqul Islam, Mathematics Discipline, Khulna University, Khulna, Bangladesh. |
Here minutiae based feature extraction method has been discussed which is used for fingerprint matching. This method is mainly depending on the characteristics of minutiae of the individuals. The minutiae are ridge endings or bifurcations on the fingerprints. Their coordinates and direction are most distinctive features to represent the fingerprint. Most fingerprint matching systems store only the minutiae template in the database for further usage. The conventional methods to utilize minutiae information are treating it as a point set and finding the matched points from different minutiae sets. This kind of minutiae-based fingerprint recognition/matching systems consists of two steps: minutiae extraction and minutiae matching. Image enhancement, histogram equalization, thinning, binarization, smoothing, block direction estimation, image segmentation, ROI extraction etc. are discussed in the minutiae extraction step. After the extraction of minutiae the false minutiae are removed from the extraction to get the accurate result. In the minutiae matching process, the minutiae features of a given fingerprint are compared with the minutiae template and the matched minutiae will be found out. The final template used for fingerprint matching is further utilized in the matching stage to enhance the system’s performance.
Keywords
Fingerprint, Minutiae Extraction, Minutiae Matching, Binarization, Smoothing, Image Segmentation, Matrix Equalization and Bifurcation
Reference
| [01] | Bassiou, N. and Kotropoulos, C., "Color image histogram equalization by absolute discounting back-off," Computer Vision and Image Understanding, 107(1-2):108-122, |
| [02] | Boldischar, M. and Moua, C. P., “Edge Detection and Feature Extraction in Automated Fingerprint Identification Systems” |
| [03] | Applications of fingerprint matching are available at http://www.answers.com/Q/What_are_the_practical_applications_of_fingerprinting |
| [04] | Lasting impression of fingerprint is available at http://www.livescience.com/30-lasting-impression-fingerprints-created.html |
| [05] | Image binarization is available at https://www.research.ibm.com/haifa/projects/image/glt/binar.html |
| [06] | Thornton, John (May 9, 2000). Latent Fingerprints, Setting Standards In The Comparison and Identification. 84th Annual Training Conference of the California State Division of IAI. Retrieved 30 August 2010. |
| [07] | Applications of fingerprint matching are available at http://www.answers.com/Q/What_are_the_practical_applications_of_fingerprinting |
| [08] | A. K. Jain, L. Hong, R. M. Bolle, "On-line fingerprint verification", IEEE Trans, on Pattern Analysis and Machine Intelligence, Vol. 19, No 4, pp.302-313, 1997. |
| [09] | D. K. Isenor, S. G. Zaky, "Fingerprint identification using graph matching", Pattern Recognition, Vol. 19, No 2, pp. 113-122, 1986. |
| [10] | K.-C. Fan, C.-W. Liu, Y.-K. Wang, "A fuzzy bipartite weighted graph matching approach to fingerprint verification", In Proc. of the IEEE International Conf. on Systems, Man and Cybernetics, pp. 729-733, Oct 1998. |
| [11] | Formula of histogram equalization is available at http://www.songho.ca/dsp/histogram/histogram.html |
