Volume 14 Issue 3  ·  ISSN: 2319-4863  ·  Monthly Publication editor@ijdacr.com
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Research Article

Hindi Character Recognition using HOG and Bayesian Optimized SVM Classifier

Durgesh Dixit  ·  Dr. Saroj Hiranwal

IJDACR Vol.9 No.3 (October 2020) ISSN 2319-4863 Open Access Peer Reviewed

Journal

International Journal of Digital Applications and Contemporary Research (IJDACR)

ISSN

2319-4863

Volume / Issue

Vol.9 · Issue 3

Published

October 2020

Access

Open Access

Licence

CC BY-NC-SA 4.0

Authors

Durgesh Dixit Dr. Saroj Hiranwal

Abstract

The massive digitization of paper documents has revealed the need for highly efficient writing recognition systems. Digitizing these documents allows you to perform operations such as keyword searches or retrieval of high-level information (title, author, addresses, and.). However the recognition of writing and in particular the handwriting are not yet at the level of human performance on complex documents, which restricts or harms some applications. The selection of features is an important step in any pattern recognition system. This selection of features is considered a combinatorial optimization problem and made the object of research in many disciplines. The main objective of the selection of features is to reduce the number of them by eliminating redundant and irrelevant features recognition system. The second objective of this feature selection is also to maintain and/or improve the performance of the classifier used by the recognition system. In this paper, support vector machine (SVM) based approach is proposed to solve this type of problem in the recognition of character. Hindi character recognition system which is capable of recognizing Hindi character with the help of morphological operation, edge detection, HOG feature extraction and Bayesian optimized support vector machine (SVM) based classifier

Keywords

Bayesian Optimization HOG OCR SVM

How to Cite

Durgesh Dixit, Dr. Saroj Hiranwal (2020). Hindi Character Recognition using HOG and Bayesian Optimized SVM Classifier. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.9, Issue 3. ISSN: 2319-4863.

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Article Info

Journal IJDACR
Volume Vol. 9
Issue No. 3
Month October
Year 2020
ISSN 2319-4863
Access Open Access

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