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Publications

Number Recognition in the Saudi License Plates using Classification and Clustering Methods

Abstract

This study is conducted for the purpose of recognizing numbers printed on the license plates images. The size of different patterns in the Saudi license plates is 20: the Arabic and English numbers. It is hard to classify all the numbers due to the similarity between specific numbers. This paper will propose to use a clustering technique called X-Means in order to regroup the numbers that have the same characteristics. Later develop a specific classification technique for each cluster. The experimentation of the proposed approach is applied on our constructed dataset gave us some limitation in classification. The results are improved by constructing a reference image for each class selected using a specific criteria from the training dataset

Author(s)

Salah Al-Shami

Coauthor(s)

Ali Yassine El-Zaart, Ali Yassine El-Zaart, Khaled Almustafa, Rached Rached Zantout

Journal/Conference Information

Applied Mathematics and Information Sciences (AMIS),ISSN: 123-135, Volume: 11, Issue: 1, Pages Range: 123-135