Word Transcription of MODI Script to Devanagari Using Deep Neural Network

Word Transcription of MODI Script to Devanagari Using Deep Neural Network

Vimal Patel1, Brijesh Chauhan2, Atharv Joshi3, Ronak Kulhari4, Madhura Shirodkar5
1,2,3,4Students, Department of Electronics and Telecommunications 5Professor, Department of Electronics and Telecommunications Xavier Institute of Engineering

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Abstract -Many historical documents and letters are written in MODI script. Study of “Shivakalin” and “Peshvekalin” era documents is almost impossible without the knowledge of MODI script. This work aims to bridge the gap between Devanagari and MODI Script by developing a system to map the recognized MODI characters to its Devanagari equivalent. Our dataset would comprise 57 different classes of MODI Script characters. We has solved the problem of loss of information in CNN as the model goes deeper using Dense Net-121. The various approaches for feature extraction usually used include moment invariant, affine moment invariant, chain code histogram, intersection junction and for character classification. Deep Neural Networks on the other hand do not require any feature to be explicitly defined, instead they work on the raw pixel data to generate the best features and use them to classify the inputs into different classes. Hence, we propose a deep learning architecture for character recognition. Dense Net-121 uses little pre-processing compared to other image classification algorithms. This means that the network learns the filters which in traditional algorithms were hand-engineered.  The system aims to provide a good recognition rate by implementing DCNN.

Key Words:Siamese Neural Network, CNN, Devanagari, HOCR

1. INTRODUCTION ( Size 11, Times New roman)

Modi is an ancient script. Crores of Modi documents. Origin: 12th century and used uptil the 20th century. Modi lipi converter is a low resource solution Many historical documents and letters are written in MODI script. Study of “Shivakalin” and “Peshvekalin” era documents is almost impossible without the knowledge of MODI script. This work aims to bridge the gap between Devanagari and MODI Script by developing a system to map the recognized MODI characters to its Devanagari equivalent, provides authors with most of the formatting specifications needed for preparing electronic versions of their papers. All standard paper components have been specified for three reasons: (1) ease of use when formatting individual papers, (2) automatic compliance to electronic requirements that facilitate the concurrent or later production of electronic products, and (3) conformity of style throughout a conference proceedings.

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