Earticle

초록

영어

We present in this paper a system of Amazigh handwriting recognition based on horizontal and vertical centerline of the character. After the image preprocessing, the text is segmented into lines and then into characters. The positions of the vertical and horizontal centerline of the character are used to obtain a set of independent and dependent features to those lines. These features are related to the densities of pixels and are extracted on binary images of characters using the sliding window technique. Finally, a multilayer perceptron is used for character classification. The system was tested on two bases of the Amazigh characters: on a printed database of Amazigh characters and on another one for handwritten characters created locally. The correct average recognition rate obtained using 10-cross-validation was 99.28 % for the 19437 Amazigh printed characters and 96.32% for the 20150 Amazigh handwritten characters.

목차

Abstract
 1. Introduction
 2. The Amazigh Language
 3. State of the Art
 4. Our System Architecture
  4.1 Pre-Processing
  4.2 Features Extraction
 5. Database
 6. Training and Recognition
 7. Results and Analysis
 8. Conclusion and Perspectives
 References

키워드

저자

• Youssef Es Saady [ IRF-SIC Laboratory, University Ibn Zohr, Agadir, Morocco ]
• Ali Rachidi [ IRF-SIC Laboratory, University Ibn Zohr, Agadir, Morocco ]
• Mostafa El Yassa [ IRF-SIC Laboratory, University Ibn Zohr, Agadir, Morocco ]
• Driss Mammass [ IRF-SIC Laboratory, University Ibn Zohr, Agadir, Morocco ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Science and Technology

• 간기

  월간

• pISSN

  2005-4238

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605