Proceedings ArticleDOI
Recognition of Bengali Handwritten Characters Using Skeletal Convexity and Dynamic Programming
Soumen Bag,Partha Bhowmick,Gaurav Harit +2 more
- pp 265-268
TLDR
This paper presents a novel handwritten character recognition method based on the structural shape of a character irrespective of the viewing direction on the 2D plane, and preliminary results demonstrate the efficacy of this approach.Abstract:
The main challenge in recognizing handwritten characters is to handle large-scale shape variations in the handwriting of different individuals. In this paper, we present a novel handwritten character recognition method based on the structural shape of a character irrespective of the viewing direction on the 2D plane. Structural shape of a character is described by different skeletal convexities of character strokes. Such skeletal convexity acts as an invariant feature for character recognition. Longest common subsequence matching is used for recognition. We have tested out method on a benchmark dataset of handwritten Bengali character images. Preliminary results demonstrate the efficacy of our approach.read more
Citations
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Document Analysis and Recognition
TL;DR: This paper addresses current topics about document image understanding from a technical point of view as a survey and proposes methods/approaches for recognition of various kinds of documents.
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Handwritten isolated Bangla compound character recognition: A new benchmark using a novel deep learning approach
TL;DR: A novel deep learning technique for the recognition of handwritten Bangla isolated compound character is presented and a new benchmark of recognition accuracy on the CMATERdb 3.3.1.3 dataset is reported.
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On Recognition of handwritten bangla characters
TL;DR: Multilayer perceptrons (MLP) trained by backpropagation (BP) algorithm are used as classifiers in the present study and results of this study on recognition of handwritten Bangla basic characters will be reported.
Journal ArticleDOI
Shape decomposition-based handwritten compound character recognition for Bangla OCR
Rahul Pramanik,Soumen Bag +1 more
TL;DR: This paper proposes a novel shape decomposition-based segmentation technique to decompose the compound characters into prominent shape components, which reduces the classification complexity in terms of less number of classes to recognize, and at the same time improves the recognition accuracy.
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
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.
Journal ArticleDOI
Bengali alpha-numeric character recognition using curvature features
Abhijit Dutta,Santanu Chaudhury +1 more
TL;DR: Curvature properties have been extracted after thinning the smoothed character images and filtering the thinned images using a Gaussian kernel and the unknown samples are classified using a two-stage feed forward neural net based recognition scheme.
Journal ArticleDOI
Bangla Basic Character Recognition Using Digital Curvelet Transform
TL;DR: This paper addresses the problem of Bangla basic character recognition with multi-font Bangla character recognition and proposes a novel feature extraction scheme based on the digital curvelet transform.
Journal ArticleDOI
Fast Polygonal Approximation of Digital Curves Using Relaxed Straightness Properties
TL;DR: A new concept of approximate straightness is introduced by relaxing certain conditions of DSS, and an algorithm is described to extract those segments from a digital curve that is significantly fewer than that of the exact DSS cover.
Journal Article
On Recognition of handwritten bangla characters
TL;DR: Multilayer perceptrons (MLP) trained by backpropagation (BP) algorithm are used as classifiers in the present study and results of this study on recognition of handwritten Bangla basic characters will be reported.