Call For Paper Volume:4 Issue:10 Oct'2017 |

Lip Reading of Digits Using Different Classifiers

Publication Date : 10/07/2015

Author(s) :

Mr. Ankur T. Patil , Prof. Sunil S. Morade.

Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India

Abstract :

This paper describes a method for lip reading of decimal digits. The term lip reading refers to recognizing the spoken words using visual speech information such as lip movements. The visual speech video of the different person is given as input to the face detection module for detecting the face region. The region of the mouth is determined relative to the face region. The mouth images are used for feature extraction. The features are extracted using discrete wavelet transform (DWT). dB-2 & dB-4 wavelets are used for our application. We performed experiment using CAUVE database on 5 persons each uttering each decimal digit 5 times. After feature extraction we get total 250 vectors. Then, these features vector are applied separately as inputs to the Back Propagation Neural Network (ANN) & Support Vector Machine (SVM) for recognizing the visual speech. These classifiers are readily available in WEKA open source software package.

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