منابع مشابه
Recognition of Arabic Sign Language Alphabet Using Polynomial Classifiers
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 iterat...
متن کاملContinuous Arabic Sign Language Recognition in User Dependent Mode
Arabic Sign Language recognition is an emerging field of research. Previous attempts at automatic vision-based recognition of Arabic Sign Language mainly focused on finger spelling and recognizing isolated gestures. In this paper we report the first continuous Arabic Sign Language by building on existing research in feature extraction and pattern recognition. The development of the presented wo...
متن کاملArabic sign language: a perspective.
Sign language in the Arab World has been recently recognized and documented. Many efforts have been made to establish the sign language used in individual countries, including Jordan, Egypt, Libya, and the Gulf States, by trying to standardize the language and spread it among members of the Deaf community and those concerned. Such efforts produced many sign languages, almost as many as Arabic-s...
متن کاملAutomatic Translation of Arabic Text to Arabic Sign Language
Sign language is the basic means of communication among hearing-impaired people. Systems that could act as interpreters between vocal and hearing-impaired people would facilitate the life of deaf and integrate them in the society. Such systems should perform bidirectional translation of sign language and spoken language. A lot of efforts invested on translating sign languages to spoken language...
متن کاملSign Language Recognition
This chapter covers the key aspects of Sign Language Recognition (SLR), starting with a brief introduction to the motivations and requirements, followed by a précis of sign linguistics and their impact on the field. The types of data available and the relative merits are explored allowing examination of the features which can be extracted. Classifying the manual aspects of sign (similar to gest...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/15747-4523