Skip navigation
Please use this identifier to cite or link to this item:
Title: A comparative study of features for handwritten Bangla text recognition
Authors: Bhunia A.K.
Das A.
Roy P.P.
Pal U.
Published in: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Abstract: Recognition of Bangla handwritten text is difficult due to its complex nature of having modifiers and headlines features. This paper presents a comparative study of different features namely LGH (Local Gradient of Histogram), PHOG (Pyramid Histogram of Oriented Gradient), GABOR, G-PHOG (Combined GABOR and PHOG) and profile feature by Marti-Bunke when applied in middle zone recognition of Bangla words using Hidden Markov Model (HMM) based framework. For this purpose, a zone segmentation method is applied to extract the busy (middle) zones of handwritten words and features are extracted from the middle zone. The system has been tested on a sufficiently large and variation-rich dataset consisting of 11,253 training and 3,856 testing data. From the experiment, it has been noted that PHOG feature outperforms other features in middle zone recognition. Since PHOG feature outperform others, we use this feature for full word recognition, For this purpose initially upper and lower zone components are recognized by PHOG features and SVM classifier. Finally, the zone-wise results are combined by the context information of the corresponding components in each zone to obtain the word level recognition. © 2015 IEEE.
Citation: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, (2015), 636- 640
Issue Date: 2015
Publisher: IEEE Computer Society
Keywords: Bangla Script Recognition
Handwritten Text Recognition
Hidden Markov Model
ISBN: 9781479918058
ISSN: 15205363
Author Scopus IDs: 57188719920
Author Affiliations: Bhunia, A.K., Dept. of ECE, Inst. of Engg. and Management, Kolkata, India
Das, A., Dept. of ECE, Inst. of Engg. and Management, Kolkata, India
Roy, P.P., Dept. of CSE, Indian Institute of Technology, Roorkee, India
Pal, U., CVPR Unit, Indian Statistical Institute, Kolkata, India
Appears in Collections:Conference Publications [CS]

Files in This Item:
There are no files associated with this item.
Show full item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.