Proceedings ArticleDOI
Handwritten Bangla Word Recognition Using Elliptical Features
Showmik Bhowmik,Samir Malakar,Ram Sarkar,Mita Nasipuri +3 more
- pp 257-261
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TLDR
A comparison among 5 well known classifiers is carried out in terms of their accuracies to select the suitable classifier for evaluating the present work and a neural network based classifier is chosen.Abstract:
In the present work, a holistic word recognition technique is proposed for the recognition of the handwritten Bangla words. Holistic word recognition technique assumes a word as a single and indivisible entity and extracts features from the entire word to recognize it. In this work, a set of elliptical features is extracted from handwritten word images to represent them in the feature space. Then, a comparison among 5 well known classifiers is carried out in terms of their accuracies to select the suitable classifier for evaluating the present work. Based on that, finally, a neural network based classifier is chosen for the recognition task. Using the elliptical features, the proposed system provides a satisfactory result on a small dataset.read more
Citations
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Journal ArticleDOI
A GA based hierarchical feature selection approach for handwritten word recognition
TL;DR: A Genetic Algorithm-based hierarchical feature selection (HFS) model has been designed to optimize the local and global features extracted from each of the handwritten word images under consideration, and performs better in comparison with some recently developed methods on the present dataset.
Journal ArticleDOI
Off-line Bangla handwritten word recognition: a holistic approach
TL;DR: A holistic handwritten word recognition method is developed using a feature descriptor, designed by combining different Elliptical, Tetragonal and Vertical pixel density histogram-based features, which performs comparatively better with SVM than MLP for the prepared dataset.
Book ChapterDOI
Feature Selection for Handwritten Word Recognition Using Memetic Algorithm
TL;DR: A Memetic Algorithm (MA)-based wrapper–filter feature selection method is applied for the recognition of handwritten word images in segmentation-free approach and results confirm that subset of features selected by MA produces increased recognition accuracy than the individual feature vector or their combination when applied entirely.
Journal ArticleDOI
GiB : A ${G}$ ame Theory ${I}$ nspired ${B}$ inarization Technique for Degraded Document Images
TL;DR: The experimental results show that GiB (Game theory Inspired Binarization) outperforms competing state-of-the-art methods in most cases.
Journal ArticleDOI
A Holistic Approach for Handwritten Hindi Word Recognition
TL;DR: Considering the complexities of Hindi characters, the technique shows an impressive result using a Multilayer Perceptron MLP based classifier and shows scale and rotation invariant nature to a significant extent.
References
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Journal ArticleDOI
Indian script character recognition: a survey
Umapada Pal,Bidyut B. Chaudhuri +1 more
TL;DR: A review of the OCR work done on Indian language scripts and the scope of future work and further steps needed for Indian script OCR development is presented.
Journal ArticleDOI
The role of holistic paradigms in handwritten word recognition
TL;DR: A fresh look is taken at the potential role of the holistic paradigm in handwritten word recognition and an attempt is made to interpret well-known paradigms of word recognition in this framework.
Journal ArticleDOI
Handwritten Farsi (Arabic) word recognition: a holistic approach using discrete HMM
TL;DR: A holistic system for the recognition of handwritten Farsi/Arabic words using right–left discrete hidden Markov models (HMM) and Kohonen self-organizing vector quantization is presented.
Journal ArticleDOI
CMATERdb1: a database of unconstrained handwritten Bangla and Bangla–English mixed script document image
TL;DR: This paper has described the preparation of a benchmark database for research on off-line Optical Character Recognition (OCR) of document images of handwritten Bangla text and Bangle text mixed with English words, which is the first handwritten database in this area available as an open source document.
Journal ArticleDOI
A benchmark image database of isolated Bangla handwritten compound characters
TL;DR: A benchmark image database of isolated handwritten Bangla compound characters, used in the standard Bangla literature, is presented, which may facilitate research on handwritten character recognition, especially related to Bangla form document processing systems.