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Báo cáo hóa học: " Recognition of Arabic Sign Language Alphabet Using Polynomial Classifiers"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Recognition of Arabic Sign Language Alphabet Using Polynomial Classifiers | EURASIP Journal on Applied Signal Processing 2005 13 2136-2145 2005 Hindawi Publishing Corporation Recognition of Arabic Sign Language Alphabet Using Polynomial Classifiers Khaled Assaleh Electrical Engineering Department American University of Sharjah P.O. Box 26666 Sharjah UAE Email kassaleh@ausharjah.edu M. Al-Rousan Computer Engineering Department Jordan University of Science and Technology Irbid Jordan Email malrousan@ausharjah.edu Received 29 December 2003 Revised 31 August 2004 Building an accurate automatic sign language recognition system is of great importance in facilitating efficient communication with deaf people. In this paper we propose the use of polynomial classifiers as a classification engine for the recognition of Arabic sign language ArSL alphabet. Polynomial classifiers have several advantages over other classifiers in that they do not require iterative training and that they are highly computationally scalable with the number of classes. Based on polynomial classifiers we have built an ArSL system and measured its performance using real ArSL data collected from deaf people. We show that the proposed system provides superior recognition results when compared with previously published results using ANFIS-based classification on the same dataset and feature extraction methodology. The comparison is shown in terms of the number of misclassified test patterns. The reduction in the rate of misclassified patterns was very significant. In particular we have achieved a 36 reduction of misclassifications on the training data and 57 on the test data. Keywords and phrases Arabic sign language hand gestures feature extraction adaptive neuro-fuzzy inference systems polynomial classifiers. 1. INTRODUCTION Signing has always been part of human communications. The use of gestures is not tied to ethnicity age or gender. Infants use gestures as a primary means of communication until their speech muscles are mature enough to articulate meaningful speech. For .