Proceedings ArticleDOI
Recognition of Bengali Handwritten Characters Using Skeletal Convexity and Dynamic Programming
Soumen Bag,Partha Bhowmick,Gaurav Harit +2 more
- pp 265-268
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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
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Book ChapterDOI
Detection of structural concavities in character images--a writer-independent approach
TL;DR: A novel technique for detection of concave regions as a structural information of character images by analyzing the sequence of discrete turns taken to describe the character stroke, which has the added advantage of detecting same concave areas of a particular character written by different individuals.
Journal ArticleDOI
Handwriting perceptual classification and synthesis using discriminate HMMs and progressive iterative approximation
Hala Bezine,Adel M. Alimi +1 more
TL;DR: This work presents a probabilistic model using the embedded hidden Markov models (HMMs) for the classification and modeling of perceptual sequences and investigated the progressive iterative approximation for synthesizing the handwritten trace.
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A Study and Comparative Analysis of Different Stemmer and Character Recognition Algorithms for Indian Gujarati Script
TL;DR: A literature review on stemmer, optical character recognition (OCR) and Text mining work on Indian scripts, mainly on the Gujarati languages is presented.
Book ChapterDOI
Online Handwritten Bangla Character Recognition Using Frechet Distance and Distance Based Features
TL;DR: This paper inspects the impact of feature vector produced by Frechet Distance along with the conventional distance based features to recognize online handwritten Bangla characters and finds that SVM (Support Vector Machine) classifier produces the reasonably satisfactory recognition accuracy of 98.98%.
Proceedings ArticleDOI
Bengali Handwritten Alphabet Recognition using Deep Convolutional Neural Network
TL;DR: A Deep Convolutional Neural Network model is proposed to recognize Bengali handwritten alphabets and achieves 95% accuracy in recognizing the alphABets.
References
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Book
Introduction to Algorithms
TL;DR: The updated new edition of the classic Introduction to Algorithms is intended primarily for use in undergraduate or graduate courses in algorithms or data structures and presents a rich variety of algorithms and covers them in considerable depth while making their design and analysis accessible to all levels of readers.
Journal ArticleDOI
Introduction to algorithms: 4. Turtle graphics
TL;DR: In this article, a language similar to logo is used to draw geometric pictures using this language and programs are developed to draw geometrical pictures using it, which is similar to the one we use in this paper.
Journal ArticleDOI
Thinning methodologies-a comprehensive survey
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
Indian script character recognition: a survey
Umapada Pal,Bidyut B. Chaudhuri +1 more
TL;DR: A review of the OCR work done on Indian language scripts and the scope of future work and further steps needed for Indian script OCR development is presented.