February 2016 Issue Vol.6 No.2

An Automated Guide Map Application for Blind People Using Android Device https://archive.org/download//vol6no0201/vol6no0201.pdf
Second year M.E Department of Computer Science and Engineering,Surya Engineering College,Erode, Tamil Nadu, India
Assistant Professor,Department of Computer Science and engineering,Surya Engineering College,Erode, Tamil Nadu, India

Abstract: The objective of this paper is to guide blind people with voice navigated GPS using an Android Phone. This application is an innovative and cost effective guide system for blind people. For blind and visually impaired people is quite impossible to be autonomous in the contemporary world, in which we are completely surrounded by information, but only visual information. While crossing a road the visually impaired person can easily identify the vehicles by using sensor. By clicking an icon the user get the current location. In this paper the authors describe a new system based on Android technology and designed for trying to solve this situation of impossibility of information that afflicts blind people.
Keywords: Android, GPS, Text to Speech, RF, GIS.

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Augmentation of Face Recognition and Retrieval (AFRR) Under Various Illuminations Using Block Truncation Coding https://archive.org/download//vol6no0202/vol6no0202.pdf
Assistant Professor, Department of Computer Science, Erode Arts & Science College (Autonomous), Erode, Tamil Nadu, India

Abstract: A simple and efficient Block Truncation Coding (BTC) method to compress two dimensional color shape without loss of data as well as quality of the picture. BTC is one of the lossy image compression algorithms but in this research work has proposed on extended version of image compression using BTC. The given color RGB value is converted into gray scale image. The features are extracted and constructed in matrix form. Then the matrix form is divided into block. Finally compressed block table is generated. The proposed algorithm is tested and implemented on various parameters. The experiments and shows that proposed method provides better recognition rate when compared with the existing methods then experiments are carried out using MATLAB.

Keywords: BTC, RGB, SV, MV, GSV, CB, CR, MSE, PSNR.

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