Abstract
This chapter shows the applications of binarization in image processing and analysis. A particular consideration is given toward some selected biometric applications. Use of binarization in medical image processing is also stated.
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References
Shaikh, S. H.: Image binarization and analysis towards moving object detection and human gait recognition. Ph.D. Thesis, Department of Computer Science and Engineering, University of Calcutta (2014)
Document Image Binarization Contest (DIBCO), http://utopia.duth.gr/~ipratika/DIBCO2013/. Accessed in Dec 2013
Markus, F., Prokop, J., Johannes, S.: Automatic number plate recognition for the observance of travel behavior. In: 8th international conference on survey methods in transport: harmonisation and data comparability (2008)
Brain MRI Images: http://overcode.yak.net/15; Accessed in Jan 2014
Boberek, M., Saeed, K.: Segmentation of MRI brain images for automatic detection and precise localization of tumor. In: Choras, R.S. (ed.) Image Processing and Communications Challenges 3, AISC 102. Advances in soft computing series, pp. 333–341. Springer, Berlin (2011). (Kacprzyk J.—EiC)
Lin, C., Fan, K.-C.: Triangle-based approach to the detection of human face. Pattern Recogn. 34, 1271–1284 (2001)
Kocjan, P., Saeed, K.: Face recognition in unconstrained environment. In: Biometrics and Kansei Engineering. Springer Science and Business Media, New York (2012)
Chen, F.-S., Fu, C.-M., Huang, C.-L.: Hand gesture recognition using a real-time tracking method and hidden Markov models. Image Vis. Comput. 21, 745–758 (2003)
Nalepa, J., Grzejszczak, T., Kawulok, M.: Wrist localization in color images for hand gesture recognition, Proceedings of the International Conference on Man-Machine Interaction (ICMMI 2013), vol. 242, pp. 79–86. Advances in Intelligent and Soft Computing. Springer (2013)
Wieclaw, L.: A minutiae-based matching algorithms in fingerprint recognition systems. J. Med. Inf. Tech. 13, 65–71 (2009)
Surmacz, K., Saeed, K., Rapta, Piotr: An improved algorithm for feature extraction from a fingerprint fuzzy image. Optica Applicata 43(3), 515–527 (2013)
Daugman, J.: How iris recognition works. IEEE Trans. Circuits Syst. Video Tech. 14(1), (2004)
Misztal, K., Saeed, E., Tabor, J., Saeed, K.: Iris pattern recognition with a new mathematical model to its rotation detection. In: Biometrics and Kansei Engineering. Springer Science and Business Media, New York (2012)
Shaikh, .S. H., Saeed, K., Chaki, N.: Gait recognition using partial silhouette-based approach. In: IEEE proceedings of the international conference on signal processing and integrated networks (SPIN) (2014)
Image Sequence Server, Universitat Karlsruhe (TH), Institut Algorithmen und Kognitive Systeme (Group Prof. Dr. H.-H. Nagel); http://i21www.ira.uka.de/image_sequences/ Accessed in Jan 2014
Chinese Academy of Sciences, Institute of Automation (CASIA) IRIS Database. http://biometrics.idealtest.org/dbDetailForUser.do?id=4. Accessed in Jan 2014
Shaikh, S. H., Bhunia, S. K., Chaki, N.: On generation of silhouette of moving objects from video In: Springer proceedings of the 4th international conference on signal and image processing (ICSIP), vol. 1, pp. 213–223. (2012)
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Chaki, N., Shaikh, S.H., Saeed, K. (2014). Applications of Binarization. In: Exploring Image Binarization Techniques. Studies in Computational Intelligence, vol 560. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1907-1_5
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DOI: https://doi.org/10.1007/978-81-322-1907-1_5
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