Abstract
Fingerprint is considered as a dominant biometric trait due to its acceptability, reliability, high security level and low cost. Due to the high demand on fingerprint identification system deployments, a lot of challenges are keep arising in each system’s phase including fingerprint image enhancement, feature extraction, features matching and fingerprint classification. Machine learning techniques introduce non traditional solutions to the fingerprint identification challenges. This paper presents a short survey that emphasizes the implementations of basic machine learning notions for compensating some fingerprint problems. This survey contributes as a ground truth for developing machine learning based algorithms for fingerprint identification in the near future.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Jain, A.K., Bolle, R., Pankanti, S.: Biometrics Personal Identification in Networked Society. Springer (2009)
International Biometric Group: Biometrics Market and Industry Report 2009-2014 (2008), http://www.biometricgroup.com
Egawa, S., Awad, A.I., Baba, K.: Evaluation of Acceleration Algorithm for Biometric Identification. In: Benlamri, R. (ed.) NDT 2012, Part II. CCIS, vol. 294, pp. 231–242. Springer, Heidelberg (2012)
Jain, A.K., Ross, A.A., Nandakumar, K.: Introduction to Biometrics. Springer (2011)
Bishop, C.M.: Pattern Recognition and Machine Learning. Springer (2006)
Delac, K., Grgic, M.: A survey of biometric recognition methods. In: Proceedings Elmar 2004, the 46 th International Symposium on Electronics in Marine, pp. 184–193 (2004)
Jain, A.K., Pankanti, S.: Automated fingerprint identification and imaging systems. In: Lee, H.C., Gaensslen, R.E. (eds.) Advances in Fingerprint Technology, 2nd edn., pp. 275–326. CRC Press (2001)
Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of Fingerprint Recognition, 2nd edn. Springer (2009)
Jain, A.K., Flynn, P.J., Ross, A.A.: Handbook of Biometrics, 1st edn. Springer, New York (2007)
Srinivasan, V., Murthy, N.: Detection of singular points in fingerprint images. Pattern Recognition 25(2), 139–153
Awad, A.I., Baba, K.: Fingerprint Singularity Detection: A Comparative Study. In: Mohamad Zain, J., Wan Mohd, W.M.b., El-Qawasmeh, E. (eds.) ICSECS 2011, Part I. CCIS, vol. 179, pp. 122–132. Springer, Heidelberg (2011)
Amin, A., Neil, Y.: Fingerprint classification: a review. Pattern Analysis and Applications 7(1), 77–93
Espinosa-Dur, V.: Minutiae detection algorithm for fingerprint recognition. In: Proceedings of IEEE 35th International Carnahan Conference on Security Technology, pp. 264–266. IEEE (2001)
Mitchell, T.: Machine Learning. McGraw-Hill series in Computer Science. McGraw-Hill (1997)
Theodoridis, S., Pikrakis, A., Koutroumbas, K., Cavouras, D.: Introduction to Pattern Recognition: A Matlab Approach. Academic Press (2010)
Sivanandam, S.N.: Introduction To Neural Networks Using MATLAB 6.0. Tata Mgraw Hill (2009)
Xie, R., Qi, J.: Continuous fingerprint image quality estimation based on neural network. In: The International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS (2010)
Maio, D., Maltoni, D., Cappelli, R., Wayman, J., Jain, A.K.: FVC2002: Second Fingerprint Verification Competition. In: Proceedings of 16th International Conference on Pattern Recognition (ICPR 2002), Quebec City, pp. 811–814 (2002)
Zhu, E., Yin, J., Hu, C., Zhang, G.: Quality Estimation of Fingerprint Image Based on Neural Network. In: Wang, L., Chen, K., S. Ong, Y. (eds.) ICNC 2005, Part II. LNCS, vol. 3611, pp. 65–70. Springer, Heidelberg (2005)
Labati, R., Piuri, V., Scotti, F.: Neural-based quality measurement of fingerprint images in contactless biometric systems. In: The 2010 International Joint Conference on Neural Networks, IJCNN (2010)
Yong-Xia, L., Jin, Q., Rui, X.: A new detection method of singular points of fingerprints based on neural network. In: The 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT (2010)
Bartunek, J., Nilsson, M., Nordberg, J., Claesson, I.: Neural network based minutiae extraction from skeletonized fingerprints. In: The 2006 IEEE Region 10 Conference, TENCON 2006 (2006)
Yang, G., Shi, D., Quek, C.: Fingerprint Minutia Recognition with Fuzzy Neural Network. In: Wang, J., Liao, X.-F., Yi, Z. (eds.) ISNN 2005, Part II. LNCS, vol. 3497, pp. 165–170. Springer, Heidelberg (2005)
Sarbadhikari, S.N., Basak, J., Pal, S.K., Kundu, M.K.: Noisy fingerprints classification with directional based features using MLP. Neural Computing & Applications 7, 180–191 (1998)
Mohamed, S.M., Nyongesa, H.O.: Automatic fingerprint classification system using fuzzy neural techniques. In: Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, (FUZZ-IEEE 2002), vol. 1, pp. 358–362 (2002)
Kumar, R., Vikram, B.D.: Fingerprint matching using multi-dimensional ann. Engineering Applications of Artificial Intelligence 23(2), 222–228 (2010)
Kristensen, T., Borthen, J., Fyllingsnes, K.: Comparison of neural network based fingerprint classification techniques. In: Proceedings of the International Joint Conference on Neural Networks, (IJCNN 2007). IEEE, Orlando (2007)
Liu, L., Tan, T., Zhan, Y.: Based on svm automatic measures of fingerprint image quality. In: Pacific-Asia Workshop on Computational Intelligence and Industrial Application, PACIIA 2008 (2008)
Zhao, S., Hao, X., Li, X.: Segmentation of fingerprint images using support vector machines. In: Second International Symposium on Intelligent Information Technology Application, IITA 2008 (2008)
Li, J., Yau, W., Wang, H.: Combining singular points and orientation image information for fingerprint classification. Pattern Recognition 41(1)
Mao, K., Wang, G., Jin, Y., Yu, C.: Using genetic algorithms for fingerprint core point detection. In: The 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009 (2009)
Tan, X., Bhanu, B.: Fingerprint matching by genetic algorithms. Pattern Recogn. 39(3), 465–477 (2006)
Tan, X., Bhanu, B., Lin, Y.: Fingerprint classification based on learned features. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 35(3), 287–300 (2005)
Watson, C., Wilson, C.: NIST special database 4, fingerprint database. U.S. National Institute of Standards and Technology (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Awad, A.I. (2012). Machine Learning Techniques for Fingerprint Identification: A Short Review. In: Hassanien, A.E., Salem, AB.M., Ramadan, R., Kim, Th. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2012. Communications in Computer and Information Science, vol 322. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35326-0_52
Download citation
DOI: https://doi.org/10.1007/978-3-642-35326-0_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35325-3
Online ISBN: 978-3-642-35326-0
eBook Packages: Computer ScienceComputer Science (R0)