Review of Finger Spelling Sign Language Recognition

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2015 by IJETT Journal
Volume-22 Number-9
Year of Publication : 2015
Authors : Dr. P.M. Mahajan, Jagruti S. Chaudhari
DOI :  10.14445/22315381/IJETT-V22P282


Dr. P.M. Mahajan, Jagruti S. Chaudhari"Review of Finger Spelling Sign Language Recognition", International Journal of Engineering Trends and Technology (IJETT), V22(9),400-404 April 2015. ISSN:2231-5381. published by seventh sense research group

Sign language is a mean of communication among the deaf people. Indian sign language is used by deaf for communication purpose in India. Here in this paper, we have proposed a system using Euclidean distance as a classification technique for recognition of various Signs of Indian sign Language. The system comprises of four parts: Image Acquisition, Pre Processing, Feature Extraction and Classification. 31 signs including A to Z alphabets & one to five numbers were considered. Gesture recognition enables humans to communicate with the machine and interact naturally without any mechanical devices. Gesture recognition can be seen as a way for computers to begin to understand human body language, thus building a richer bridge between machines and humans than primitive text user interface or even GUIs (graphical user interfaces), which still limit the majority of input to keyboard and mouse. Gesture recognition pertains to recognizing meaningful expressions of motion by human, involving the hands, arms, face, head, and/or body. Hand gesture is a method of non-verbal communication for human beings for its freer expressions much more other than body parts. Hand gesture recognition has greater importance in designing an efficient human computer interaction system.


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Principle Component Analysis(PCA), Hidden Markov Model(HMM), Neural Network(NN).