Open access peer-reviewed chapter

Multi-Stage Based Feature Extraction Methods for Uyghur Handwriting Based Writer Identification

By Kurban Ubul, Andy Adler and Mamatjan Yasin

Submitted: May 25th 2011Reviewed: November 9th 2011Published: March 21st 2012

DOI: 10.5772/36623

Downloaded: 2629

© 2012 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Kurban Ubul, Andy Adler and Mamatjan Yasin (March 21st 2012). Multi-Stage Based Feature Extraction Methods for Uyghur Handwriting Based Writer Identification, Genetic Algorithms in Applications Rustem Popa, IntechOpen, DOI: 10.5772/36623. Available from:

Embed this chapter on your site Copy to clipboard

<iframe src="" />

Embed this code snippet in the HTML of your website to show this chapter

chapter statistics

2629total chapter downloads

2Crossref citations

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Towards the Early Diagnosis of Alzheimer's Disease through the Application of a Multicriteria Classification Model

By Amaury Brasil, Plácido Rogério Pinheiro and André Luís Vasconcelos Coelho

Related Book

First chapter

Voice Activity Detection. Fundamentals and Speech Recognition System Robustness

By J. Ramirez, J. M. Gorriz and J. C. Segura

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

+3,550 Open Access Books

+57,400 Citations in Web of Science

+108,500 IntechOpen Authors and Academic Editors

+560,000 Unique visitors per month

More about us