منابع مشابه
Hand Gesture Recognition using Sign Language
Sign Language is mostly used by deaf and dumb people. In order to improve the man machine interaction, sign language can be used as a way for communicating with machines. Most of the applications which enable sign language processing are using data gloves and other devices for interacting with computers. This restricts the freedom of users. So to avoid this, this system we capture live video st...
متن کاملHand Gesture Recognition for Sign Language Recognition: A Review
For deaf and dumb people, Sign language is the only way of communication. With the help of sign language, these physical impaired people express their emotions and thoughts to other person. Since for the common person, it is difficult to understand these language therefore often these physically challenged has to keep the translator along with them to communicate with the world. Hence sign lang...
متن کاملHand Sign Recognition through Palm Gesture and Movement
We propose and implement a new method of detecting hand signs by combining skin color detection in transformed 2D normalized RGB or YCbCr color space, PCAbased detection of hand gestures and movement tracking of hand centroids. Hand gesture recognition is a field of research with growing applications, and the implemented system uses movement-tracking pairing for more granular recognition and co...
متن کاملVision Based Hand Gesture Recognition for Indian Sign Languages
Sign Language is a language which uses visually transmitted sign patterns to convey meaning by simultaneously combining hand shapes, orientation and movement of the hands to fluently express one's thoughts / communicate with others and is commonly used by the physically impaired people who cannot speak or hear. Automatic Sign Language system requires fast and accurate techniques for identifying...
متن کاملHand Gesture Recognition for Sign Language: A New Hybrid Approach
This paper proposes two new approaches of hand gesture recognition which will recognize sign language gestures in a real time environment. A hybrid feature descriptor, which combines the advantages of SURF & Hu Moment Invariant methods, is used as a combined feature set to achieve a good recognition rate along with a low time complexity. To further increase the recognition rate and make the rec...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2017
ISSN: 0975-8887
DOI: 10.5120/ijca2017913090