• Recognition of Bangla handwrit...

Result: Recognition of Bangla handwritten characters using an MLP classifier based on stroke features

Title:
Recognition of Bangla handwritten characters using an MLP classifier based on stroke features
Authors:
BHOWMIK, T. K, BHATTACHARYA, U, PARUI, Swapan K
Source:
Neural information processing (Calcutta, 22-25 November 2004)Lecture notes in computer science. :814-819
Publisher Information:
Berlin: Springer, 2004.
Publication Year:
2004
Physical Description:
print, 14 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Algorithme adaptatif, Adaptive algorithm, Algoritmo adaptativo, Algorithme rétropropagation, Backpropagation algorithm, Algoritmo retropropagación, Autoapprentissage, Self learning, Autodidactismo, Base donnée, Database, Base dato, Caractère manuscrit, Manuscript character, Carácter manuscrito, Problème terminaison, Termination problem, Problema terminación, Reconnaissance caractère manuscrit, Handwritten character recognition, Reconnaissance caractère, Character recognition, Reconocimiento carácter, Réseau multicouche, Multilayer network, Red multinivel, Réseau neuronal, Neural network, Red neuronal
Subject Geographic:
Asie, Asia, Bengla Desh, Bangladesh, Bangla Desh
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
CVPR Unit, Indian Statistical Institute, Kolkata, 108, India
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=16442603
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.16442603
Database:
PASCAL Archive

Further Information

A recognition scheme for handwritten basic Bangla (an Indian script) characters is proposed. No such work has been reported before on a reasonably large representative database. Here a moderately large database of Bangla handwritten character images is used for the recognition purpose. A handwritten character is composed of several strokes whose characteristics depend on the handwriting style. The strokes present in a character image are identified in a simple fashion and 10 certain features are extracted from each of them. These stroke features are concatenated in an appropriate order to form the feature vector of a character image on the basis of which an MLP classifier is trained using a variant of the backpropagation algorithm that uses self-adaptive learning rates. The training and test sets consist respectively of 350 and 90 sample images for each of 50 Bangla basic characters. A separate validation set is used for termination of training of the MLP.