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Handwritten Numeral Superposition to Printed Form Using Convolutional Auto-Encoder and Recognition Using Convolutional Neural Network

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Proceedings of International Joint Conference on Computational Intelligence

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

This paper presents a novel HNR system based on the hypothesis of human learning of writing. Superposition of different shaped, sized and oriented handwritten numerals into same-sized printed form will make recognition task easy because classifier has to classify a small set of fixed patterned printed images leading to improvement of recognition accuracy. A modified version of convolutional auto-encoder (CAE) has been utilized as superposition method to transform images of handwritten numeral into printed numeral, while convolutional neural network (CNN) is used as a classifier to recognize the printed numeral. The efficiency of the proposed system is tested on Bengali numerals owing to achieve fair recognition performance because the recognition accuracy of Bengali HNR is still relatively low and remains an open research challenge.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Khulna University of Engineering and Technology, Khulna, Bangladesh

    M. I. R. Shuvo & M. A. H. Akhand

  2. School of Computing, Engineering and Intelligent Systems, Ulster University, Newtownabbey, UK

    N. Siddique

Authors
  1. M. I. R. Shuvo
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  2. M. A. H. Akhand
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  3. N. Siddique
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Corresponding author

Correspondence to M. I. R. Shuvo .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh

    Mohammad Shorif Uddin

  2. Department of Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

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Shuvo, M.I.R., Akhand, M.A.H., Siddique, N. (2020). Handwritten Numeral Superposition to Printed Form Using Convolutional Auto-Encoder and Recognition Using Convolutional Neural Network. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-3607-6_14

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