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Design of High-Speed LVDS Data Communication Link Using FPGA Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Handwritten Numeral Identification System Using Pixel Level Distribution Features

Authors : Madhav V. Vaidya, Yashwant V. Joshi

Published in: Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 2

Publisher: Springer International Publishing

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Abstract

In this paper, pixel level features of the character are used for Devanagari numeral Recognition. The pixel distribution features for each numeral can be calculated after preprocessing the document image and converting it to binary. Based on these features the numerals are classified into appropriate groups. Histogram feature matching method gives erroneous results for the numbers like one and nine as they are having nearly similar histogram. In the proposed approach pixel distribution features are extracted in four directions. The overall performance of classification can be improved if more number of features is compared. The proposed approach gives improved results as compared to simple histogram matching criteria.

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Metadata
Title
Handwritten Numeral Identification System Using Pixel Level Distribution Features
Authors
Madhav V. Vaidya
Yashwant V. Joshi
Copyright Year
2018
Book
Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 2

Print ISBN: 978-3-319-63644-3

Electronic ISBN: 978-3-319-63645-0

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-63645-0_34

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