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Proceedings ArticleDOI

Character Segmentation of Handwritten Bangla Text by Vertex Characterization of Isothetic Covers

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TLDR
A novel approach towards character segmentation in a handwritten document is proposed based on the vertex characterization of outer isothetic polygonal covers so that each cover corresponds to a particular word or part of a word.
Abstract
Segmentation of cursive handwriting is one of the most challenging problems in the area of handwritten character recognition. In this paper, we propose a novel approach towards character segmentation in a handwritten document. It is based on the vertex characterization of outer isothetic polygonal covers so that each cover corresponds to a particular word or part of a word. The proposed method has the potential to segment skewed text without deskewing them. Experiment is done on several Bangla handwritings of different individuals. The average success rate is 96.04\%. This method can be considered as a significant preprocessing step towards the development of a handwritten Bangla OCR system.

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Citations
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Journal ArticleDOI

Shape decomposition-based handwritten compound character recognition for Bangla OCR

TL;DR: This paper proposes a novel shape decomposition-based segmentation technique to decompose the compound characters into prominent shape components, which reduces the classification complexity in terms of less number of classes to recognize, and at the same time improves the recognition accuracy.
Book ChapterDOI

Character Segmentation of Hindi Unconstrained Handwritten Words

TL;DR: The proposed character segmenattion technique can be used as a part of an OCR system for cursive handwritten Hindi language and can cope with high variations in writing style and skewed header lines as input.
Journal ArticleDOI

Handwritten Bangla city name word recognition using CNN-based transfer learning and FCN

TL;DR: This work extracts different statistical feature sets from word images and uses five different off-the-shelf classifiers to delineate their performance on holistic Bangla words and uses a seven-layer FCN architecture to provide a threefold study on this particular domain.
Proceedings ArticleDOI

A Complete Bangla Optical Character Recognition System: An Effective Approach

TL;DR: A Convolutional Neural Network is used to build the model which identifies individual Bangla characters, and this model has been able to achieve a very impressive accuracy rate in the image to text conversion and by far the highest accuracy rates in scripted character detection.
Journal ArticleDOI

Handwritten multilingual word segmentation using polygonal approximation of digital curves for Indian languages

TL;DR: This work depicts the novel approach for script independent character segmentation of handwritten text utilizing basic structural properties of the languages and uses shadow and cumulative stretch feature set with random forest, support vector machine, multi-layer perceptron, and convolutional neural network (CNN) classifiers for character recognition.
References
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Journal ArticleDOI

Indian script character recognition: a survey

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.
Proceedings ArticleDOI

Segmentation of Bangla unconstrained handwritten text

TL;DR: A robust scheme to segment unconstrained handwritten Banglatexts into lines, words and characters based on water reservoir principle is proposed to take care of variability involved in the writing style of different individuals.
Proceedings ArticleDOI

Segmentation of Bangla handwritten text into characters by recursive contour following

TL;DR: This paper proposes a method of recursive contour following in one of the zones across the height of the word to find out the extents within which the main portion of the character lies.
Journal ArticleDOI

Construction of isothetic covers of a digital object: A combinatorial approach

TL;DR: A combinatorial algorithm is presented for varying grid sizes, which is free of any backtracking and can produce the isothetic cover of a connected component in a time linear in the length of the perimeter of the cover.
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