Bengali Printed Character Recognition – A New Approach

Abstract : This paper presents a new method for Bengali character recognition based on view-based approach. Both the top-bottom and the lateral view-based approaches have been considered. A layer-based methodology in modification of the basic view-based processing has been proposed. This facilitates handling of unequal logical partitions. The document image is acquired and segmented to extract out the text lines, words, and letters. The whole image of the individual characters is taken as the input to the system. The character image is put into a bounding box and resized whenever necessary. The view-based approach is applied on the resultant image and the characteristic points are extracted from the views after some preprocessing. These points are then used to form a feature vector that represents the given character as a descriptor. The feature vectors have been classified with the aid of k-NN classifier using Dynamic Time Warping (DTW) as a distance measure. A small dataset of some of the compound characters has also been considered for recognition. The promising results obtained so far encourage the authors for further work on handwritten Bengali scripts.
Type de document :
Communication dans un congrès
Khalid Saeed; Rituparna Chaki; Agostino Cortesi; Sławomir Wierzchoń. 12th International Conference on Information Systems and Industrial Management (CISIM), Sep 2013, Krakow, Poland. Springer, Lecture Notes in Computer Science, LNCS-8104, pp.129-140, 2013, Computer Information Systems and Industrial Management. 〈10.1007/978-3-642-40925-7_13〉
Liste complète des métadonnées

Littérature citée [23 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01496058
Contributeur : Hal Ifip <>
Soumis le : lundi 27 mars 2017 - 11:00:59
Dernière modification le : mardi 28 mars 2017 - 01:07:11
Document(s) archivé(s) le : mercredi 28 juin 2017 - 12:55:18

Fichier

978-3-642-40925-7_13_Chapter.p...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Soharab Shaikh, Marek Tabedzki, Nabendu Chaki, Khalid Saeed. Bengali Printed Character Recognition – A New Approach. Khalid Saeed; Rituparna Chaki; Agostino Cortesi; Sławomir Wierzchoń. 12th International Conference on Information Systems and Industrial Management (CISIM), Sep 2013, Krakow, Poland. Springer, Lecture Notes in Computer Science, LNCS-8104, pp.129-140, 2013, Computer Information Systems and Industrial Management. 〈10.1007/978-3-642-40925-7_13〉. 〈hal-01496058〉

Partager

Métriques

Consultations de la notice

136

Téléchargements de fichiers

201