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Proceedings ArticleDOI

Recognition of printed and handwritten Tamil characters using fuzzy approach

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TLDR
This paper attempts to use the fuzzy concept on handwritten numerals and Tamil characters to classify them as one among the prototype characters using a feature called distance from the frame and a suitable membership function.
Abstract: 
The theory of fuzzy set provides an approximate but effective means of describing the behavior of ill-defined systems. Patterns of human origin like handwritten characters are to some extent found to be fuzzy in nature. It is decided to use fuzzy conceptual approach effectively in this paper. In fact, in this paper, we attempt to use the fuzzy concept on handwritten numerals and Tamil characters to classify them as one among the prototype characters using a feature called distance from the frame and a suitable membership function. The unknown and prototype characters are preprocessed and considered for recognition. The algorithm is tested for about 250 samples for numerals and seven chosen Tamil characters and the success rate obtained varies from 76% to 94%.

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Citations
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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.
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.
Proceedings ArticleDOI

A Two Stage Recognition Scheme for Handwritten Tamil Characters

TL;DR: An off-line recognition approach based on a database of handwritten Tamil characters provided acceptable classification accuracies on both the training and test sets of the present database.
Proceedings ArticleDOI

Offline Handwritten Character Recognition of Gujrati script using Pattern Matching

TL;DR: This study proposes a novel solution for performing character recognition in Gujrati, the official language of Gujarat by proposing a method called Pattern Matching where a character is identified by analyzing its shape and comparing its features that distinguish each character.
Journal ArticleDOI

An Improved Handwritten Tamil Character Recognition System using Octal Graph

R. J. Kannan, +1 more
- 31 Jul 2008 - 
TL;DR: This study proposes a novel solution for performing character recognition in Tamil using octal graph conversion for recognizing off-line handwritten Tamil characters which improves the slant correction and indicates that the approach can be used forCharacter recognition in other Indic scripts as well.
References
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Book

Fuzzy sets

TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Journal ArticleDOI

A Computational Approach to Edge Detection

TL;DR: There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.
Journal ArticleDOI

Character recognition—a review

TL;DR: There still is a great gap between human reading and machine reading capabilities, and a great amount of further effort is required to narrow-down this gap, if not bridge it.
Journal ArticleDOI

Fuzzy sets in pattern recognition: methodology and methods

TL;DR: A state-of-the-art of methodology and algorithms of fuzzy sets in the field of pattern recognition and clustering techniques are discussed and a problem of cluster validity expressed in terms of clustering indices is addressed.
Book

Note on fuzzy languages

E. T. Lee, +1 more
TL;DR: In this paper, the notions of union, intersection, concatenation, Kleene closure and grammar for fuzzy languages are defined as extensions of the corresponding notions in the theory of formal languages.
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