Handwriting Recognition and Spotting in Indic (Bengali and Devanagari) Scripts

This github profile contains code and recent papers that have been appeared in the field of Handwriting Recognition, Handwriting Spotting in context of Indic Scripts.

Not every part of these codes is developed by me. Zone segmentation code was mainly developed by Prasenjit Dey. And the central idea of zone segmentation came from Prof. Partha Pratim Roy. Also, I would like to give credit Ayan Das who was also deeply involved in first few of the works. Ina addition, Prof.Umapada Pal was also involved in these works.

Over the 4 years (2014-2018), a number papers have been published in peer-reviewed venues from our group. This github page contains some of the implemented codes of our earlier works. This code can be used for the research purpose only.

Also, we want to provide a comprehensive list of papers that have been appeared in the literature in context of Indic Script from 2014 onwards based on our works.

Word Recognition and Spotting:

1. Bhunia, Ayan Kumar, Ayan Das, Partha Pratim Roy, and Umapada Pal. "A comparative study of features for handwritten Bangla text recognition." In 2015 13th international conference on document analysis and recognition (ICDAR), pp. 636-640. IEEE, 2015.

2. Roy, Partha Pratim, Ayan Kumar Bhunia, Ayan Das, Prasenjit Dey, and Umapada Pal. "HMM-based Indic handwritten word recognition using zone segmentation." Pattern Recognition 60 (2016): 1057-1075.

3. Das, Ayan, Ayan Kumar Bhunia, Partha Pratim Roy, and Umapada Pal. "Handwritten word spotting in Indic scripts using foreground and background information." In 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), pp. 426-430. IEEE, 2015.

4. Bhunia, Ayan Kumar, Partha Pratim Roy, and Umapada Pal. "Zone-based Keyword Spotting in Bangla and Devanagari Documents." Multimedia Tools and Applications.

5. Bhunia, Ayan Kumar, Partha Pratim Roy, Akash Mohta, and Umapada Pal. "Cross-language framework for word recognition and spotting of Indic scripts." Pattern Recognition 79 (2018): 12-31.

6. Roy, Partha Pratim, Ayan Kumar Bhunia, Ayan Das, Prithviraj Dhar, and Umapada Pal. "Keyword spotting in doctor's handwriting on medical prescriptions." Expert Systems with Applications 76 (2017): 113-128.

7. Roy, Partha Pratim, Ayan Kumar Bhunia, Avirup Bhattacharyya, and Umapada Pal. "Word searching in scene image and video frame in multi-script scenario using dynamic shape coding." Multimedia Tools and Applications 78, no. 6 (2019): 7767-7801.

8. Bhunia, Ayan Kumar, Abhirup Das, Ankan Kumar Bhunia, Perla Sai Raj Kishore, and Partha Pratim Roy. "Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning." In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR), pp. 4767-4776. 2019.

Script Identification:

1. Bhunia, Ayan Kumar, Subham Mukherjee, Aneeshan Sain, Ankan Kumar Bhunia, Partha Pratim Roy, and Umapada Pal. "Indic Handwritten Script Identification using Offline-Online multi-modal Deep Network." Information Fusion (2019).

2. Bhunia, Ankan Kumar, Aishik Konwer, Ayan Kumar Bhunia, Abir Bhowmick, Partha P. Roy, and Umapada Pal. "Script identification in natural scene image and video frames using an attention based Convolutional-LSTM network." Pattern Recognition 85 (2019): 172-184.