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@article{150308,
        author = {Chaithanya Jyothi Y S and Dr K M Sadyojatha},
        title = {ADVANCED OPTICAL CHARACTER RECOGNITION FOR BLIND PEOPLES USING RASBERRY PI},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {4},
        pages = {370-375},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=150308},
        abstract = {The main objective of this paper is to provide blinds voice data and an inventive system that can help the blind to read altered. Many techniques have been used for the processing of finding obstacles and alert them by voice and convert images into text and then to the sound that can be heard by the blind. All systems are implemented using a Raspberry Pi Micro controller based system. This article presents a novel approach, identifying the area of interest in the object that can be identified, using text scan and optical recognition to transform the text of binary characters tools. The second-order characters are identified by the scanned image being emitted before it is detected. A third method has also been introduced that can be used to convert e-speech exposure characters by matching that model. Embedded systems have been developed based on ARM technology which helps blind people to detect obstacles. All methods presented in this paper have been implemented in embedded applications. The attached board has been tested with different words and speech in English, More can be done to generate speech in other differences both National and International Languages.},
        keywords = {blind, Raspberry Pi, text, ARM, embedded},
        month = {},
        }