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Text and Images-To-Speech (TITS) conversion may be a computer-based system which will be recognized to browse any text aloud, otherwise it had been directly introduced within the information processing system. by associate degree user or scanned data associate degreed its submitted to an Optical Character Recognition (OCR) system. whereas in text and image to speech, there ar several system strategies that convert traditional language text and pictures in to speech. the most aims of this paper ar to acknowledge text and pictures and to review on Character Recognition with speech synthesis technology and to develop a value effective user friendly image to speech conversion system victimisation MATLAB. during this work, the OCR system is enforced for the popularity of capital English character A to Z and variety zero to nine. And images.Each character is recognized at persistently. during this work a text and image-to-speech conversion system which will get the text through image and directly input within the laptop then speech through that text victimisation MATLAB.
Keywords:
-Text English and Kannada ,images,OCR,speech Synthesis., WIN32 OR .NET Assembly code.Snipping Tool.
Cite Article:
"Implementation of Text and pictures to Speech Conversion victimisation OCR. ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 5, page no.280 - 285, May-2017, Available :http://www.ijrti.org/papers/IJRTI1705051.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator