In this paper, we describe a system for the automatic recognition of isolated handwritten Devanagari characters obtained by linearizing consonant conjuncts. Owing to the large number of characters and resulting demands on data acquisition, we use structural recognition techniques to reduce some characters to others. The residual characters are then classified using the subspace method. Finally the results of structural recognition and feature-based matching are mapped to give final output. The proposed system Ifs evaluated for the writer dependent scenario
The Handwritten Character Recognition has been a challenging task for the past many decades. This is...
This paper presents an off-line recognition system for Bangla handwritten characters using superimpo...
For different applications handwritten recognition frameworks increasingly used for automatic docume...
Handwritten Devanagari off-line characters recognition is a challenging task due to peculiarities in...
Devanagari, the most accepted script in India and Hindi is the only dialect which is widely spoken a...
India is a multi-lingual country consisting of eleven different scripts. Hindi is third most widely ...
This papers examines the issues in recognizing the Devanagari characters in the wild like sign board...
Abstract- In this paper, a recognition model is described for recognizing handwritten Devanagari cha...
The process of recognizing scanned documents or machine printed documents using automated or semi-au...
Manuscripts serve as a wealth of knowledge for future generations and are a useful source of informa...
ABSTRACT The development of a Character recognition system for Devnagri is difficult because (i) the...
In country like India, where many languages and scripts exist, Devanagari is third most widely used ...
The feature extraction method(s) used to recognize hand-printed characters play an important role in...
Abstract: In this paper, the methodology for off-line isolated handwritten Devanagari numeral recogn...
This thesis proposes a neural network based framework to classify online Devanagari characters into ...
The Handwritten Character Recognition has been a challenging task for the past many decades. This is...
This paper presents an off-line recognition system for Bangla handwritten characters using superimpo...
For different applications handwritten recognition frameworks increasingly used for automatic docume...
Handwritten Devanagari off-line characters recognition is a challenging task due to peculiarities in...
Devanagari, the most accepted script in India and Hindi is the only dialect which is widely spoken a...
India is a multi-lingual country consisting of eleven different scripts. Hindi is third most widely ...
This papers examines the issues in recognizing the Devanagari characters in the wild like sign board...
Abstract- In this paper, a recognition model is described for recognizing handwritten Devanagari cha...
The process of recognizing scanned documents or machine printed documents using automated or semi-au...
Manuscripts serve as a wealth of knowledge for future generations and are a useful source of informa...
ABSTRACT The development of a Character recognition system for Devnagri is difficult because (i) the...
In country like India, where many languages and scripts exist, Devanagari is third most widely used ...
The feature extraction method(s) used to recognize hand-printed characters play an important role in...
Abstract: In this paper, the methodology for off-line isolated handwritten Devanagari numeral recogn...
This thesis proposes a neural network based framework to classify online Devanagari characters into ...
The Handwritten Character Recognition has been a challenging task for the past many decades. This is...
This paper presents an off-line recognition system for Bangla handwritten characters using superimpo...
For different applications handwritten recognition frameworks increasingly used for automatic docume...