Arabic handwritten digit recognition

作者：Abdleazeem Sherif; El Sherif Ezzat^*

来源：International Journal on Document Analysis and Recognition, 2008, 11(3): 127-141.

DOI：10.1007/s10032-008-0073-5

• Benchmark
• Arabic digits
• Indian digits
• Classifiers
• Feature extraction
• Two-stage

In this paper, we fill a gap in the literature by studying the problem of Arabic handwritten digit recognition. The performances of different classification and feature extraction techniques on recognizing Arabic digits are going to be reported to serve as a benchmark for future work on the problem. The performance of well known classifiers and feature extraction techniques will be reported in addition to a novel feature extraction technique we present in this paper that gives a high accuracy and competes with the state-of-the-art techniques. A total of 54 different classifier/features combinations will be evaluated on Arabic digits in terms of accuracy and classification time. The results are analyzed and the problem of the digit '0' is identified with a proposed method to solve it. Moreover, we propose a strategy to select and design an optimal two-stage system out of our study and, hence, we suggest a fast two-stage classification system for Arabic digits which achieves as high accuracy as the highest classifier/features combination but with much less recognition time.

• 出版日期2008-12