Abstract
, Sign languages have their own linguistic structure, grammar and characteristics, and are independent of the rules that govern spoken languages. They are visual languages that rely on hand gestures as well as on bodily and facial expressions. Sign languages in different countries are vastly different from one another, so enabling easy communication is important: not just to break the barrier between hearing and deaf individuals, but also between people who do not sign in the same language. In India, sign language plays an important role in the field of communication among dumb and deaf people. There are different signs associated for communication in every country as per their convenient gestures. Automatic sign language gesture recognition is an approach for recognizing gestures and converts it to its actual meaning and convey either through speech or text as per requirements. Here the system is based on Prewitt Edge Detection that possesses the gestures of sign language and helps to recognize and assign their meanings. The Prewitt is second order derivative that has been used in image processing and computer vision, in the form of edge detection or extraction algorithms where it creates gradient of horizontal and vertical magnitude. System also uses certain pre-processing filtration technique such as morphological dilation for better feature extraction.
Highlights
INTRODUCTIONGestures have a wide range of functions to achieve meaning and meaning in a word. Typically, gestures are regarded as gestures made with the help of hands or using certain facial gestures intended to communicate with others without spoken communication
A handshake can be considered a gesture of goodbye or Hello! This is an example of a powerful touch
Morphological operation is a part of image enhancement tool in the field of image processing. It enhances the images either by eliminating the unnecessary pixels which is known as erosion but where it loses that is called dilation. By using these operations or algorithms a complete gesture cannot be portrayed well because it can only have active pixels and rest will be eroded, it means that it segments an image in black and white pixels that does not dignify the hand gesture.Muthu Mariappan H et al [6] proposed a system which is based on certain preprocessing tools and classification techniques such as morphological operations and fuzzy classification resp
Summary
Gestures have a wide range of functions to achieve meaning and meaning in a word. Typically, gestures are regarded as gestures made with the help of hands or using certain facial gestures intended to communicate with others without spoken communication. Linguists view spoken and signed communication as a kind of natural language, Retrieval Number: 100.1/ijeat.A18841010120 DOI:10.35940/ijeat.A1884.1010120 Journal Website: www.ijeat.org. Signaling is primarily used by the deaf and hard of hearing, it is used by hearing people, such as those who cannot speak physically, those who have speech problems because of a disability or a condition (poor communication and contrast), or those who have deaf family members, such as deaf adult children. It is not known how many sign languages are currently available worldwide. Each country usually has its own native sign language, and some have more than one language[1]
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