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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Journal Article
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.
Journal ArticleDOI
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.
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.
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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Posted Content
Handwritten Bangla Basic and Compound character recognition using MLP and SVM classifier
TL;DR: In this article, a novel approach for recognition of handwritten compound Bangla characters along with the Basic characters of Bangla alphabet is presented, which makes an attempt to identify compound character classes from most frequently to less frequently occurred ones, i.e., in order of importance.
Book ChapterDOI
On recognition of handwritten bangla characters
TL;DR: In this paper, features are obtained by computing local chain code histograms of input character shape and the classification results are obtained after down sampling the histogram feature by applying Gaussian filter in both these cases.
Book ChapterDOI
Recognition of Bangla Handwritten Characters Using an MLP Classifier Based on Stroke Features
TL;DR: A moderately large database of Bangla handwritten character images is used for the recognition purpose and an MLP classifier is trained using a variant of the backpropagation algorithm that uses self-adaptive learning rates.
Book ChapterDOI
Automatic Recognition of Unconstrained Off-Line Bangla Handwritten Numerals
Umapada Pal,Bidyut B. Chaudhuri +1 more
TL;DR: An automatic recognition method for unconstrained off-line Bangla handwritten numerals based on new features obtained from the concept of water overflow from the reservoir as well as topological and statistical features of the numerals is presented.
Book ChapterDOI
On-Line Handwritten Alphanumeric Character Recognition Using Feature Sequences
Xiaolin Li,Dit-Yan Yeung +1 more
TL;DR: This paper presents an approach in which an on-line handwritten character is characterized by a sequence of dominant points in strokes and a sequences of writing directions between consecutive dominant points.