IMPROVED FEATURE EXTRACTION AND TTS METHOD BASED BLIND OCR
Keywords:
Optical character Recognition, Image Processing, Feature Extraction, text-to-speech(TTS)Abstract
Optical Character Recognition (OCR) can be utilized as a part of numerous applications, for example,
machine interpretation, postal preparing, script recognition, text-to-speech, reading aid for blind, etc. Myanmar OCR
system is essential to convert numerous published books, newspapers and journals of Myanmar into editable computer
text files. In this research these text is converted into speech output. A novel algorithm is evaluated on variety of scenes.
The detected text is compared with the template and converted into the speech output. The content examples are confined
and binarized utilizing. The perceived content is changed over to a sound yield OCR. The recognized text is converted to
an audio output. The speech output is given to the blind user. The text input from the user is converted into speech using
based process. In this paper convert to text–to-speech for propose process. Calculate the Accuracy of Propose work.
