A Machine Learning Approach to Detection of Core Region of Online Handwritten Bangla Word Samples

S. Baral, S. Bhattacharya, A. Chakraborty, U. Bhattacharya, S.K. Parui

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Core region detection of handwritten cursive words is an important step towards their automatic recognition. Several preprocessing operations such as height normalization, slant estimation etc. Are often based on this core region. This is particularly useful for word recognition of major Indian scripts, which have large character sets. The main parts of majority of these characters belong to the core region that is bounded above by a headline and bounded below by an imaginary base line. Only a few such characters or their parts appear either above or below the core region. A few approaches are available in the literature for detection of such a core region of offline handwritten word samples of Latin script. Also, a similar region is often determined for recognition of images of printed Indian scripts. However, none of these approaches have studied detection of core region of an unconstrained online handwritten word. In this article, we propose a novel method for detection of the core region of online handwritten word samples of Bangla, a major Indian script. For this we first perform smoothing on the samples and then segment a stroke into sub strokes. We compute certain novel positional features from each such sub stroke. Using these features, a multilayer perceptron (MLP) is trained by back propagation (BP) algorithm. On the basis of the output of the MLP, we determine the position of both the headline and the baseline. We have tested this approach on a recently developed large database of online unconstrained handwriting Bangla word samples. The proposed approach would also work on similar samples of Devanagari, another major Indian script. Experimental results are encouraging.
Original languageEnglish
Title of host publication2014 14th International Conference on Frontiers in Handwriting Recognition
PublisherIEEE
Pages458-463
Number of pages6
ISBN (Electronic)978-1-4799-4334-0
ISBN (Print)978-1-4799-4335-7
DOIs
Publication statusPublished - 15 Dec 2014
Event14th International Conference on Frontiers in Handwriting Recognition 2014 - Hersonissos, Crete, Greece
Duration: 1 Sep 20144 Sep 2014
Conference number: 14
http://www.icfhr2014.org/

Publication series

NameInternational Workshop on Frontiers in Handwriting Recognition
PublisherIEEE
ISSN (Print)2167-6445

Conference

Conference14th International Conference on Frontiers in Handwriting Recognition 2014
Abbreviated titleIFCHR 2014
Country/TerritoryGreece
CityHersonissos, Crete
Period1/09/144/09/14
Internet address

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