Rahul Pramanik

Rahul Pramanik

Doctor of Philosophy

About

14
Publications
1,236
Reads
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199
Citations
Additional affiliations
November 2020 - present
BITS Pilani, Dubai
Position
  • Professor (Assistant)
Education
February 2015 - February 2020
Indian Institute of Technology (ISM) Dhanbad
Field of study
  • Computer Science and Engineering
July 2012 - June 2014
Indian Institute of Technology (ISM) Dhanbad
Field of study
  • Computer Science and Engineering
August 2009 - July 2011
West Bengal State University
Field of study
  • Computer Science

Publications

Publications (14)
Article
Proper recognition of complex-shaped handwritten compound characters is still a big challenge for Bangla OCR systems. In this paper, we propose a novel shape decomposition-based segmentation technique to decompose the compound characters into prominent shape components. This shape decomposition reduces the classification complexity in terms of less...
Article
Full-text available
Decomposition of a word into a set of appropriate pseudo-characters is a challenging task in case of a cursive script like Bangla. Segmentation-free approach bypasses the decomposition problem entirely and treats the handwritten word as an individual entity. From the literature, we found that the accuracy of handwritten Bangla cursive word recognit...
Article
Full-text available
Multi-oriented handwritten documents require additional preprocessing for segmentation and subsequent phases to work accurately in handwritten recognition systems. Skew correction is one such additional phase. Appearance of skew in multi-oriented Indian language based handwritten document is higher due to the presence of cursive nature. In the curr...
Article
Full-text available
Offline recognition of handwritten text in Indian regional scripts is a major area of research as nearly 910 million people use such scripts in India. Most of the reported research works on Indian script-based optical character recognition (OCR) system have focused on a single script only. Research for developing methodologies that are capable of h...
Chapter
Alteration of words in handwritten financial documents such as cheques, medical claims, and insurance claims may lead to monetary loss to the customers and financial institutions. Hence, automatic identification of such alteration in documents is a crucial task. Therefore, an ink color based analysis using Convolutional Neural Network (CNN) automat...
Chapter
Filling up forms at post offices, railway counters, and for application of jobs has become a routine for modern people, especially in a developing country like India. Research on automation for the recognition of such handwritten forms has become mandatory. This applies more for a multilingual country like India. In the present work, we use readily...
Chapter
Most segmentation algorithms for Indian scripts require some prior knowledge about the structure of a handwritten word to efficiently fragment the word into constituent characters. Zone detection is a considerably used strategy for this purpose. Headline estimation is a salient part of zone detection. In the present work, we propose a method that u...
Chapter
Substantial size of convoluted conjunct characters in Bengali language makes the recognition process burdensome. In this paper, we propose a structural disintegration based segmentation technique that fragments the conjunct characters into discernible shapes for better recognition accuracy. We use a set of structure based segmentation rules that bi...
Article
Spam in recent years has pervaded all forms of digital communication.The increase in user base for social platforms like Facebook, Twitter, YouTube, etc., has opened new avenues for spammers. The liberty to contribute content freely has encouraged the spammers to exploit the social platforms for their benefits. E-mail and web search engine being th...
Conference Paper
Full-text available
In information retrieval, keyword-based queries often fail to capture actual information need, especially when the need is very specific and particular. Using natural language, however, a user can clearly tell what she wants (positive part) and what she does not (negative parts). We propose techniques for automatic removal of negative parts and que...

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Cited By

Projects

Projects (2)
Project
Segmentation of double touching numerals
Project
Developing New Preprocessing Strategies for Improving Various Indian Language OCR