Differentiating Between Oriental and European Scripts by Statistical Features

Author:

Lam Louisa12,Ding Jie1,Suen Ching Y.1

Affiliation:

1. Centre for Pattern Recognition and Machine Intelligence, Concordia University, 1455 de Maisonneuve Blvd. West, Montréal, Québec H3G 1M8, Canada

2. Department of Mathematics, Hong Kong Institute of Education, 10 Lo Ping Road, Tai Po, Hong Kong, P.R. China

Abstract

Two types of techniques are usually adopted in language differentiation: token matching and statistical analysis. In this paper we present a method which uses a combined analysis of several discriminating statistical features, for the differentiation between European and oriental language scripts. When applied to more than 23 languages, it has proved to be effective in differentiating between documents printed in these different scripts.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Handwritten Indic Script Identification in Multi-Script Document Images: A Survey;International Journal of Pattern Recognition and Artificial Intelligence;2018-06-20

2. Script Identification of Multi-Script Documents: a Survey;IEEE Access;2017

3. Document Image Analysis for a Major Indic Script Bangla - Advancement and Scope;Communications in Computer and Information Science;2017

4. Recent Advances in Script Identification;Applied Mechanics and Materials;2014-08

5. Script Identification from Printed Indian Document Images and Performance Evaluation Using Different Classifiers;Applied Computational Intelligence and Soft Computing;2014

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