Abstract
Signatures are widely used means of personal verification. This paper presents a fuzzy hybrid framework based person-dependent off-line signature verification using fuzzy inference rules in image contrast enhancement, fuzzy rough reduction for feature selection and Simplified fuzzy ARTMAP for verification. Three sets of experimental studies are conducted on CEDAR benchmark dataset and the results reported are comparable to other techniques in terms of classification accuracy and time.
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Chen, S., Srihari, S.: Use of Exterior Contours and Shape Features in Off-line Signature Verification. In: Proc. of the 8th Internat. Conf. on Document Analysis and Recognition (ICDAR 2005), vol. 2, pp. 1280–1284 (2005)
Chen, S., Srihari, S.: A New Off-line Signature Verification Method based on Graph Matching. In: Proc. of the 18th Internat. Conf. on Pattern Recognition (ICPR 2006), vol. 2, pp. 869–872 (2006)
Favata, J., Srikantan, G.: A Multiple Feature/Resolution Approach to Hand printed Digit and Character Recognition. Int. J. Imaging Syst. Technol. 7(4), 304–311 (1996)
Hassanien, A.E., Badr, A.: A Comparative study on Digital Mammography Enhancement Algorithm based on Fuzzy Theory. Studies in Information and Control 12(1), 21–31 (2003)
Jensen, R., Shen, Q.: New Approaches to Fuzzy-Rough Feature Selection. IEEE Transactions on Fuzzy Systems 17(4), 824–838 (2009)
Kalera, M.K., Srihari, S., Xu, A.: Offline Signature Verification and Identification using distance statistics. Intern. J. Pattern Recognit. Artif. Intell. 18(7), 1339–1360 (2004)
Kasuba, T.: Simplified Fuzzy ARTMAP. AI Expert, 18–25 (November 1993)
Kumar, R., Kundu, L., Sharma, J.D., Chanda, B.: A writer-independent off-line signature verification system based on signature morphology. In: Proc. of the IITM 2010, pp. 261–265. ACM (2010)
Kumar, R., Sharma, J.D., Chanda, B.: Writer-independent off-line signature verification using surroundedness feature. Pattern Recognit. Lett. 33, 301–308 (2012)
Larkins, R., Mayo, M.: Adaptive Feature Thresholding for Off-line Signature Verification. In: 23rd Internat. Conf. in Image and Vision Computing New Zealand (IVCNZ 2008), pp. 1–6 (2008)
Lazebnik, S., Schmid, S., Ponce, J.: Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In: Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit (CVPR), vol. 2, pp. 2169–2178 (2006)
Pal, S.K., King, R.A.: Image Enhancement using Smoothing with Fuzzy sets. IEEE Trans. Syst. Man Cybern. C Appl. Rev. 11(7), 494–501 (1981)
Rajasekaran, S., Vijayalakshmi Pai, G.: Neural Networks, Fuzzy Logic and Genetic Algorithm - Synthesis and Applications. Prentice Hall of India (2011)
Srihari, S., Xu, A., Kalera, M.K.: Learning Strategies and Classification Methods for Offline Signature Verification. In: Proc. of the 7th Internat. Workshop on Frontiers in Handwriting Recognition (IWHR), pp. 161–166 (2004)
Tizhoosh, H.R., Krell, G., Michaelis, B.: On Fuzzy Enhancement of Megavoltage images in Radiation Therapy. IEEE Conference of Fuzzy Systems, Barcelona, Spain 3, 1399–1404 (1997)
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Ganapathi, G., Nadarajan, R. (2013). A Fuzzy Hybrid Framework for Offline Signature Verification. In: Maji, P., Ghosh, A., Murty, M.N., Ghosh, K., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2013. Lecture Notes in Computer Science, vol 8251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45062-4_16
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DOI: https://doi.org/10.1007/978-3-642-45062-4_16
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