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EXCEL PREPARER Using Optical Character Recognition Technique

Ms.S.Thangamani1, M.Akshay2, S.Dharanieshan3, V.Boopathi Raja4, R.Dinesh5

1Assistant Professor, Department of Information Technology, Nandha Engineering College-Erode- 638052, Tamilnadu, India.

2,3,4,5UG Scholar, Information Technology, Nandha Engineering College-Erode- 638052, Tamilnadu, India.

E-mail : thangamaniselvamit@gmail.com

Abstract. Optical individual popularity (OCR) is the procedure of extracting textual content from an photo. The main motive of an OCR is to make editable documents from current paper documents or photograph files. Significant number of algorithms is required to develop an OCR and basically it works in two phases such as character and word detection.

An OCR also works on sentence detection to maintain a report's shape. It's been determined that researchers positioned masses of efforts for developing a Bengali OCR but none of them is completely mistakes free. To take this difficulty in consideration, the state-of-the-art three.03 model of Tesseract OCR engine for windows operating gadget is used to broaden an OCR for Bengali language.

Furthermore, 18110 characters and 2617 words are used to make the OCR's library. in this research, ‘Solaimanlipi’ font and 2 hundred enter files are used to check the accuracy of OCR. It is discovered that for easy image documents, the accuracy of the software program is as high as ninety seven fifty six percentage. It's miles to be mentioned that accuracy is measured as the percentage of accurate characters and phrases