Title :
Sign language recognition system
Author :
Pankajakshan, Priyanka C. ; Thilagavathi, B.
Author_Institution :
Dept. of EIE, Karunya Univ., Coimbatore, India
Abstract :
Sign language is the preferred method of communication among the deaf and the hearing impaired people all over the world. Recognition of sign language can have varying degree of success when used in a computer vision or any other methods. Sign language is said to have a structured set of gestures in which each gesture is having a specific meaning.
Keywords :
handicapped aids; sign language recognition; deaf people; gesture recognition; hearing impaired people; sign language recognition system; Artificial neural networks; Assistive technology; Cameras; Feature extraction; Gesture recognition; Image edge detection; Image segmentation; classification; neural networks; sign language;
Conference_Titel :
Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6817-6
DOI :
10.1109/ICIIECS.2015.7192910
