Proceedings ArticleDOI
Recognition of Bengali Handwritten Characters Using Skeletal Convexity and Dynamic Programming
Soumen Bag,Partha Bhowmick,Gaurav Harit +2 more
- pp 265-268
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TLDR
This paper presents a novel handwritten character recognition method based on the structural shape of a character irrespective of the viewing direction on the 2D plane, and preliminary results demonstrate the efficacy of this approach.Abstract:
The main challenge in recognizing handwritten characters is to handle large-scale shape variations in the handwriting of different individuals. In this paper, we present a novel handwritten character recognition method based on the structural shape of a character irrespective of the viewing direction on the 2D plane. Structural shape of a character is described by different skeletal convexities of character strokes. Such skeletal convexity acts as an invariant feature for character recognition. Longest common subsequence matching is used for recognition. We have tested out method on a benchmark dataset of handwritten Bengali character images. Preliminary results demonstrate the efficacy of our approach.read more
Citations
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Proceedings ArticleDOI
Pattern Recognition based Tasks and Achievements on Handwritten Bengali Character Recognition
Apash Roy,Debayani Ghosh +1 more
TL;DR: In this paper, a study of the different tasks to be done along with achievements throughout the last decade for different tasks in the field of handwritten Bengali character recognition is presented, which can be used for commercialization or practically implemented in day-to-day life.
Journal Article
A Contour Descriptors-Based Generalized Scheme for Handwritten Odia Numerals Recognition
TL;DR: This paper proposes a novel feature for recognizing handwritten Odia numerals by using polygonal approximation, each numeral is segmented into segments of equal pixel counts where the centroid of the character is kept as the or igin.
Book ChapterDOI
Bengali Printed Character Recognition – A New Approach
TL;DR: This paper presents a new method for Bengali character recognition based on view-based approach and proposes a layer-based methodology in modification of the basic view- based processing that facilitates handling of unequal logical partitions.
DissertationDOI
Design of an Offline Handwriting Recognition System Tested on the Bangla and Korean Scripts
TL;DR: This dissertation presents a flexible and robust offline handwriting recognition system which is tested on the Bangla and Korean scripts and achieves a Character Recognition Accuracy (CRA) of 94.8% and is one of the most flexible architectures ever presented.
Book ChapterDOI
End-to-End Optical Character Recognition Using Sythetic Dataset Generator for Noisy Conditions
TL;DR: The results indicate that attempting to perform noisy OCR is an extremely challenging task, and the best results are obtained when models trained on synthetic data are fine-tuned with some real-world data.
References
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Book
Introduction to Algorithms
TL;DR: The updated new edition of the classic Introduction to Algorithms is intended primarily for use in undergraduate or graduate courses in algorithms or data structures and presents a rich variety of algorithms and covers them in considerable depth while making their design and analysis accessible to all levels of readers.
Journal ArticleDOI
Introduction to algorithms: 4. Turtle graphics
TL;DR: In this article, a language similar to logo is used to draw geometric pictures using this language and programs are developed to draw geometrical pictures using it, which is similar to the one we use in this paper.
Journal ArticleDOI
Thinning methodologies-a comprehensive survey
TL;DR: A comprehensive survey of thinning methodologies, including iterative deletion of pixels and nonpixel-based methods, is presented and the relationships among them are explored.
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.