Abstract
Writer Identification/Verification being a biometric personal authentication technique can be extensively used for personal verification. Currently, it has gained a renewed interest in researchers due to the promising prospect in real life applications like forensic, security, access control, etc. In the proposed work, we have modified and evaluated the performance of different textural features for writer verification on unconstrained Bangla isolated characters. A collection of 500 documents of isolated Bangla characters from 100 writers consisting of total 35,500 Bangla characters (25,500 alphabets + 5000 Bangla numerals + 5000 Bangla vowel modifiers) are used in this respect. The combination of features yields better performance. The evaluation of results shows that our method is effective and can be applied on large database.
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One of the author would like to thank Department of Science and Technology (DST) for support in the form of INSPIRE fellowship.
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Halder, C., Obaidullah, S.M., Paul, J., Roy, K. (2016). Writer Verification on Bangla Handwritten Characters. In: Chaki, R., Cortesi, A., Saeed, K., Chaki, N. (eds) Advanced Computing and Systems for Security. Advances in Intelligent Systems and Computing, vol 396. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2653-6_4
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DOI: https://doi.org/10.1007/978-81-322-2653-6_4
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