Sign Language Recognition Essay

Sign Language Recognition Essay

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Real Time Visual Recognition of Indian Sign Language Using Wavelet Transform and Principle Component Analysis

Mrs.Dipali Rojasara Dr.Nehal G Chitaliya
PG student Associate Professor
SVIT,Vasad SVIT,Vasad



Abstact: 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 in this paper.

Key words: Sign Language Recognition (SLR),Indian Sign Language (ISL),Principal Component Analysis(PCA)

1. Introduction:

Sign language is the natural ways of exchanging information among the deaf. It has been observed that deaf people are facing difficulty to interact with normal people. The purpose of sign language recognition system is to provide an efficient and accurate system to convert sign language into text so that communication between the deaf and normal people can be more convenient.

Sign language consists of vocabulary of signs in exactly the same way as spoken language consists of a vocabulary of words. Indian sign language (ISL) is sign language used in India. ISL involves both static and dynamic gestures, single as well as double handed gestures, in addition to this the hands involved in gesturing may have complex motion. Some signs include facial expressions too. Because of these...


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...han, P. Mishra, “comparative study of skin color based segmentation techniques”, Aligarh Muslim University, A.M.U., Aligarh, India,2012.

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[20]M. A. amin and H. Yan, “Sign Language Finger Alphabet Recognition from Gabor-PCA Representation of hand gestures”, International Conference on Machine Learning and Cybernetics, 2007.

[21] Shikha Gupta et.al. , “Static Hand Gesture Recognition Using Local Gabor Filter”, International Symposium on Robotics and Intelligent Sensors,elsevier Procedia Engineering 41 , 2012 .

[22] Moharir PS. Pattern recognition transforms. New York: Wiley; 1992.

[23] S.S. Tamboli1 et.al. “Image Compression Using Haar Wavelet Transform”, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 2, 2013



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