Author : Ms.Neha .M.Kothalkar 1
Date of Publication :7th August 2016
Abstract: We proposed a camera based assistive system framework to help blind persons for reading text-labels and the product packaging from hand-held objects in their daily life and blind navigation assist system to get direction using text to speech conversion to show direction in the camera view we first find propose a efficient and effective motion based method to define region of interest (ROI). In extracted ROI, the text localization and recognition are conducted to acquire text information. Text characters are in the localized text regions are binaries and recognized by off shelf optical character recognition software’s. The scene capture component collects the scenes containing the objects of interest in the form of images /video, it corresponds to a camera attached to air of sun glasses . The live is captured by using web cam. The image format from the webcam is in format. The frames from the video segregated and undergone to the pre processing. The data processing component is used for deploying our proposed algorithms, including.
 Chen, Huizhong, et al. "Robust Text Detection in Natural Images with Edge-Enhanced Maximally Stable ExtremalRegions." Image Processing (ICIP), 2011 18th IEEE International Conference on. IEEE, 2011.
 Gonzalez, Alvaro, et al. "Text location in complex images." Pattern Recognition (ICPR), 2012 21st International Conference on. IEEE, 2012.
 Li, Yao, and Huchuan Lu. "Scene text detection via stroke width." Pattern Recognition (ICPR), 2012 21st International Conference on. IEEE, 2012.
 Neumann, Lukas, and Jiri Matas. "Real-time scene text localization and recognition." Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on. IEEE, 2012.