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Mathematical Morphology Approach for Genuine Fingerprint Feature Extraction.
Vikas Humbe, S. S. Gornale, Ramesh Manza, K. V. Kale
Pages - 45 - 51     |    Revised - 15-08-2007     |    Published - 30-08-2007
Volume - 1   Issue - 2    |    Publication Date - August 2007  Table of Contents
Feature Extraction, Morphology, Fingerprints, superfluous information etc
Recognition systems based on biometrics (faces, hand shapes and fingerprints etc.) are finally taking off although it has taken a long way to come. Fingerprints have been a precious tool for law enforcement, forensics and recently in commercial use for over a century. Evaluate the performance of these emerging technologies is tricky problem. Most fingerprint verification algorithms rely on minutiae features, and these algorithms can only be as robust as the underlying minutiae features. Therefore, reliable minutiae extraction is vital to a system’s performance. Most of the feature extraction techniques extract features from thinned images but while dealing with binarization and skeletization of image it introduces noise or superfluous information, which creates troubles for genuine feature extraction. In this paper we have used the mathematical morphology to remove the superfluous information for genuine feature extraction and measure the feature extraction performance through sensitivity and specificity.
CITED BY (20)  
1 Iwasokun, G. B., Udoh, S. S., & Akinyokun, O. K. (2015). Multi-Modal Biometrics: Applications, Strategies and Operations. Global Journal of Computer Science and Technology, 15(2).
2 Saleh, A. M. A. M. (2014). Enhanced Secure Algorithm for Fingerprint Recognition. arXiv preprint arXiv:1402.4936.
3 Iwasokun, G. B., & Ojo, S. O. (2014). Review and Evaluation of Fingerprint Singular Point Detection Algorithms. British Journal of Applied Science & Technology, 4(35), 4918.
4 Iwasokun, G. B., & Akinyokun, O. C. False Minutiae’Impact on Fingerprint Matching.
5 Chin, R. K. Y., & Lim, J. F. (2014). Fingerprint Recognition Using a Hybrid of Minutiae-and Image-Based Matching Techniques. International Journal of Simulation--Systems, Science & Technology, 15(2).
6 Karthikeyini, C., Rajamani, V., & Bommanna Raja, K. (2014). Exploring fingerprints using composite minutiae descriptors to determine hereditary relation across multiple generations. International Journal of Biomedical Engineering and Technology, 15(3), 224-242.
7 Babatunde, I. G. Review and Evaluation of Fingerprint Singular Point Detection Algorithms.
8 Babatunde, I. G., Charles, A. O., & Olusegun, O. S. (2014). An Investigation into the Impact of False Minutiae Points on Fingerprint Matching. International Journal of Database Theory and Application, 7(3), 159-178.
9 Raut, S. D., & Humbe, V. T. (2014). An Approach to Boundary Extraction of Palm Lines and Vein Pattern. International Journal of Image, Graphics and Signal Processing (IJIGSP), 6(12), 47.
10 Babu, K. R., & Sunitha, K. V. N. (2014). An effective hybrid technique for image enhancement through Genetic Algorithm-morphological operations. International Journal of Signal and Imaging Systems Engineering, 7(2), 83-91.
11 Bahaa-Eldin, A. M. (2013). A medium resolution fingerprint matching system. Ain Shams Engineering Journal, 4(3), 393-408.
12 Lim, J. F., & Chin, R. K. Y. (2013, December). Enhancing Fingerprint Recognition Using Minutiae-Based and Image-Based Matching Techniques. In Artificial Intelligence, Modelling and Simulation (AIMS), 2013 1st International Conference on (pp. 261-266). IEEE.
13 Babu, K. R., & Sunitha, K. V. N. (2013). Image De-noising and Enhancement for Salt and Pepper Noise using Genetic Algorithm-Morphological Operations. International Journal on Signal and Image Processing, 4(1), 36.
14 Babu, K. R., & Sunitha, K. V. N. (2013). Enhancing Hazy Images with the Aid of Particle Swarm Optimization (PSO) and Morphological Operation. International Review on Computers and Software (IRECOS), 8(1), 21-28.
15 Chockaian, K., Vayanaperumal, R., & Kanagaraj, B. R. (2013). New approach for identifying hereditary relation using primary fingerprint patterns. Image Processing, IET, 7(5), 423-431.
16 Babu, K. R., & Sunitha, K. V. N. (2012). Image de-noising and enhancement for salt and pepper noise using improved median filter-morphological operations. In Advances in Communication, Network, and Computing (pp. 7-14). Springer Berlin Heidelberg.
17 Yang Gang , Kang & clean . (2011). CB Morphological Pyramid and Its Application to Image Matching information technology , ( 8 ) , 6-9.
18 R. Bansal, P. Sehgal and P. Bedi, “Minutiae Extraction from Fingerprint Images-a Review”, International Journal of Computer Science Issues (IJCSI), 8(5), pp. 74-85, Sep. 2011.
19 J. K. Gupta and R. Kumar. “An Efficient ANN Based Approach for Latent Fingerprint Matching” International Journal of Computer Applications 7(10), pp. 18–21, Oct. 2010.
20 Dr. M. R. Raybhan. "Bio-Data". IEEE Sponsored International Conference Future Computer and Communication, 2009
1 Google Scholar 
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3 ScientificCommons 
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14 PdfSR 
A. Jain, L. Hong, and R. Bolle, "On-line fingerprint verification". Pattern Analysis and Machine Intelligence, volume 19, pages 302–313, 1997.
Alam M, Akhteruzzaman M, "Real time fingerprint identification", Proceedings of NAECON 2000, Dayton, OH, pp 434–440, 2000.
Anil Jain, Arun Ross, and Salil Prabhakar, "Fingerprint matching using minutiae texture features", In International Conference on Image Processing, pages 282–285, october 2001.
Asker M. Bazen and Sabih H. Gerez. "Fingerprint matching by thin-plate spline modeling of elastic deformations", Pattern Recognition, 36:1859–1867, 2003.
Ceguerra A, Koprinska I, "Integrating local and global features in automatic fingerprint verification", Proc ICPR 2002, Quebec, Canada, 11–15 August Vol. 3:PP347–350, 2002.
Davide Maltoni, Dario Maio, Anil K. Jain and Salil Prabhakar, "Handbook of fingerprint recognition" Springer-Verlag, 2003
Harlick R. M. Sternberg R S. and Zhuang X, "Image Analysis using mathematical Morphology" IEEE Tran. on Pattern analysis and Machine Vision, Vol. 9(4), PP. 532-550, 1987.
Hatano T, Adachi T, Shigematsu S, Morimura H, Onishi S, Okazaki Y, Kyuragi H, "A fingerprint verification algorithm using the differential matching rate", Proceedings of ICPR 2002, Quebec, Canada, 11–15 August 2002, 3:799–802, 2002.
Jain A, Prabhakar S, Hong L, Pankanti S. "Filterbankbased fingerprint matching. IEEE Trans Image Processing Vol. 9(5), PP:846– 859, 2002
Jin A, Chekima A, Dargham J, Fan L, "Fingerprint identification and recognition using backpropagation neural network", Proceedings of the 2002 Student Conference on Research and Development, Shah Alam, Malaysia, pp 98–101, May 2002.
K. V. Kale, R R Manza, S. S. Gornale, P. D. Deshmukh and Vikas Humbe, "SWT Based composite method for fingerprint image enhancement" IEEE proc. of International Symposium on Signal Processing and Information Technology, PP. 162-168, 2006.
L.C. Jain, U. Halici, I.Hayashi, S.B. Lee, S. Tsutsui, "Intelligent Biometric Techniques in Fingerprint and Face Recognition", by CRC Press LLC, 1999.
Lee C, Wang S, "Fingerprint feature reduction by principal gabor basis function" Pattern Recognition, Vol. 34, PP:2245–2248, 2001
Lee S, Nam B, "Fingerprint recognition using wavelet transform and probabilistic neural network", Proc IJCNN- 1999 Vol. 5:3276–3279, 1999
Lee W, Chung J, "Fingerprint recognition algorithm development using direction information in wavelet transform domain", Proceedings of the IEEE International Symposium on Circuits and Systems, Hong Kong, China, pp 1201–1204, June 1997
Maria Petrou, Panagiota Bosdogianni, "Image Processing the fundamentals", John Wiley and Sons Ltd. Singapore, 2000.
N. Ratha, S. Chen, and A. K. Jain, "Adaptive flow orientation based feature extraction in fingerprint images" Pattern Recognition, 28:1657–1672, 1995.
RNCOS's Market Research Report "World Biometric Market Outlook (2005-2008)", 22nd March 2006 (IT Market Research)
Ross A, Reisman J, Jain A, "Fingerprint matching using feature space correlation", Lecture Notes in Computer Science, vol 2359, pp 48–57, Springer, Berlin Heidelberg New York, 2002
Seow B, Yeoh S, Lai S, Abu N, "Image based fingerprint verification", Proceedings of the 2002 Student Conference on Research and Development, Shah Alam, Malaysia, May 2002, pp 58–61, 2002.
Sharat S Chikkerur, "Online fingerprint Verification System", M. S. Thesis, 2005
Sharat S. Chikkerur, Chaohang Wu, Venu Govindaraju, "A Systematic Approach for Feature Extraction in Fingerprint Images" ICBA-2004, PP. 344-350, 2004.
Soifer V, Kotlyar V, Khonina S, Skidanov R, "Fingerprint identificaion using the directions field", Proc ICPR 1996, vol. 3, PP:586– 590, 1996.
Sujan V, Mulqueen M, "Fingerprint identification using space invariant transforms". Pattern Recognition Letter, Vol 23, PP:609-619, 2002
Synthetic Fingerprint Generator http://bias.csr.unibo.it/research/biolab/sfinge.html
Tico M, Immonen E, Ramo P, Kuosmanen P, Saarinen J, "Fingerprint recognition using wavelet features", Proc ISCAS 2001 2:21–24, 2001.
Tico, M.; Vehvilainen, M.; Saarinen, J, "A method of fingerprint image enhancement based on second directional derivatives" (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005. Proceedings. Volume 2, March 18-23, PP:985 – 988, 2005
Virginia Espinosa-duro, "Mathematical Morphology approaches for fingerprint Thinning" 36th international carnahan conference on Security technology , PP. 43-45, 2002.
Wang S, Lee C, "Fingerprint recognition using directional micropattern histograms and LVQ networks", Proc Information Intelligent System 1999, pp 300–303, 1999.
Wilson C, Watson C, Paek E, "Effect of resolution and image quality on combined optical and neural network fingerprint matching", Pattern Recognition, Vol. 33, PP:317–331, 2000.
Xudong Jiang and Wei-Yun Yau, "Fingerprint minutiae matching based on the local and global structures", In International Conference on Pattern Recognition, pages 1038– 1041, 2000.
Mr. Vikas Humbe
- India
Mr. S. S. Gornale
- India
Mr. Ramesh Manza
- India
Mr. K. V. Kale
- India

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