Fingerprint Minutiae Identification Using RLC Method
Keywords:
fingerprint, minutiae, filter, preprocessing, binarization, thinning, GaborAbstract
This paper is aimed to design a scheme to mark and extract minutiae of fingerprint using Run-length Coding technique. Minutiae extraction takes vital role in fingerprint based authentication and identifications systems. The scheme comprises of binarization, thinning, minutia marking and extraction. The scheme is tested using the FVC database and real time fingerprint datasets. The Experimental results are presented
References
[1] Anil K. Jain, Yi Chen, and MeltemDemirkus, “Pores and Ridges: High-Resolution Fingerprint Matching Using Level 3 Features”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, No. 1, January 2007.
[2] Hans Van Den Nieuwendijk, “Fingerprints”, eBook.
[3] Haralick, Robert M., and Linda G. Shapiro, Computer and Robot Vision, Volume I, Addison-Wesley, pp. 28-48, 1992.
[4] V.Rajaraman, Introduction to Information Technology, Third Edition.
[5] Nalini K. Ratha, Shaoyun Chen, Anil K. Jain , Adaptive flow orientation based feature extraction in fingerprint images, Pattern Recognition, Vol. 28, issue 11, 1995.
[6] Chih-Jen Lee and Sheng- De Wang,A Gabor filter-based approach to fingerprint recognition, DOI, 0-7803-5650-0/99, IEEE, 1999.
[7] Anil K. Jain, Prabhakar S, Hong L, A Multichannel approach to fingerprint classification, IEEE Transactions on Patt. Anal. Mach. Intel. , 21(4):348-359, 1999.
[8] Wan S, Fingerprint Classifications by directional fields, Fourth IEEE Int. Conference on Multimodal Interfaces (ICMI ’02), 2002.
[9] Neil Yager and Adnan Amin, Fingerprint Classification: a review, Pattern Analysis and Applications, Springer, Vol. 7, number 1, 77-93,2004.
[10] SharatChikkerur, Chaochang Wu, and VenuGovindaraju, A Systematic Approach for Feature Extraction in Fingerprint Images, Biometric Authentication, LNCS, Vol. 3072, 1-23,2004.
[11] Feng Zhoa and Xiaoou Tang, Preprocessing and Post processing for skeleton-based fingerprint minutiae extraction, Pattern Recognition, Vol. 40, 1270-1281, Elsevier, 2007.
[12] UdayRajanna, Ali Erol and George Bebis, A Comparative study on Feature Extraction for fingerprint classification and performance improvement using rank-level fusion, Pattern Analysis and Applications, Springer, 2009.
[13] Anil K. Jain, and Jianjiang Feng, Latent fingerprint Matching, IEEE Transactions on Pattern analysis and Machine Intelligence, vol. 23, No. 1, 2011.
[14] MATLAB 7.10, Help desk
[15] Lifeng He, Yuyanchao, Kenji Suzuki, Kesheng Wu, Fast Connected-component labeling, Pattern Recognition, Vol. 42, Issue 9, pp 1977-1987,2009.
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