Book ChapterDOI
A Novel Topographic Feature Extraction Method for Indian Character Images
Soumen Bag,Gaurav Harit +1 more
- pp 358-367
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TLDR
Novel features based on the topography of a character as visible from different viewing directions on a 2D plane are presented and tested on printed and handwritten Bengali and Hindi isolated character images.Abstract:
In this paper, we present novel features based on the topography of a character as visible from different viewing directions on a 2D plane. By topography of a character we mean the structural features of the strokes and their spatial relations. In this work we develop topographic features of strokes visible with respect to views from different directions (e.g. North, South, East, and West). We consider three types of topographic features: closed region, convexity of strokes, and straight line strokes. We have tested the proposed method on printed and handwritten Bengali and Hindi isolated character images. Initial results demonstrate the efficacy of our approach.read more
Citations
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Journal ArticleDOI
A survey on optical character recognition for Bangla and Devanagari scripts
Soumen Bag,Gaurav Harit +1 more
TL;DR: A review of OCR work on Indian scripts, mainly on Bangla and Devanagari—the two most popular scripts in India, and the various methodologies and their reported results are presented.
References
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Journal ArticleDOI
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TL;DR: A comprehensive survey of thinning methodologies, including iterative deletion of pixels and nonpixel-based methods, is presented and the relationships among them are explored.
Journal ArticleDOI
Feature extraction methods for character recognition--a survey
TL;DR: This paper presents an overview of feature extraction methods for off-line recognition of segmented (isolated) characters in terms of invariance properties, reconstructability and expected distortions and variability of the characters.
Journal ArticleDOI
A complete printed Bangla OCR system
Bidyut B. Chaudhuri,Umapada Pal +1 more
TL;DR: A complete Optical Character Recognition (OCR) system for printed Bangla, the fourth most popular script in the world, is presented and extension of the work to Devnagari, the third most popular Script in the World, is discussed.
Proceedings ArticleDOI
Segmentation of Bangla unconstrained handwritten text
Umapada Pal,S. Datta +1 more
TL;DR: A robust scheme to segment unconstrained handwritten Banglatexts into lines, words and characters based on water reservoir principle is proposed to take care of variability involved in the writing style of different individuals.
Journal ArticleDOI
Machine recognition of constrained hand printed devanagari
Ishwar K. Sethi,B. Chatterjee +1 more
TL;DR: A method is presented for the machine recognition of constrained, hand printed Devanagari characters, where each stage of decision making narrows down the choice regarding the class membership of the input token.