Optical Character Recognition

SHALIN A.CHOPRA; AMIT A.GHADGE; ONKAR A.PADWAL; KARAN S.PUNJABI; GANDHALI S.GURJAR Student; Dept. Of Computer Engineering; Sinhgad Academy of Engineering; Pune; India Student; Dept. Of Computer Engineering; Sinhgad Academy of Engineering; Pune; India Student; Dept. Of Computer Engineering; Sinhgad Academy of Engineering; Pune; India Student; Dept. Of Computer Engineering; Sinhgad Academy of Engineering; Pune; India Assistant Professor; Dept. Of Computer Engineering; Sinhgad Academy of Engi

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Optical Character Recognition

SHALIN A.CHOPRA, AMIT A.GHADGE, ONKAR A.PADWAL, KARAN S.PUNJABI, PROF. GANDHALI S.GURJAR Student, Dept. Of Computer Engineering, Sinhgad Academy of Engineering, Pune, India Student, Dept. Of Computer Engineering, Sinhgad Academy of Engineering, Pune, India Student, Dept. Of Computer Engineering, Sinhgad Academy of Engineering, Pune, India Student, Dept. Of Computer Engineering, Sinhgad Academy of Engineering, Pune, India Assistant Professor, Dept. Of Computer Engineering, Sinhgad Academy of Engi

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Abstract: At the present time, keyboarding remains the most common way of inputting data into computers. This is probably the most time consuming and labour intensive operation. OCR is the machine replication of human reading and has been the subject of intensive research for more than three decades. OCR can be described as Mechanical or electronic conversion of scanned images where images can be handwritten, typewritten or printed text. It is a method of digitizing printed texts so that they can be electronically searched and used in machine processes. It converts the images into machine-encoded text that can be used in machine translation, text-to-speech and text mining. This paper presents a simple, efficient, and less costly approach to construct OCR for reading any document that has fix font size and style or handwritten style. To achieve efficiency and less computational cost, OCR in this paper uses database to recognize English characters which makes this OCR very simple to manage.

Keywords: Scanned images, digitizing, translation, machine –encoded text, fix font, handwritten style, text-to-speech.

How to Cite:

[1] SHALIN A.CHOPRA, AMIT A.GHADGE, ONKAR A.PADWAL, KARAN S.PUNJABI, PROF. GANDHALI S.GURJAR Student, Dept. Of Computer Engineering, Sinhgad Academy of Engineering, Pune, India Student, Dept. Of Computer Engineering, Sinhgad Academy of Engineering, Pune, India Student, Dept. Of Computer Engineering, Sinhgad Academy of Engineering, Pune, India Student, Dept. Of Computer Engineering, Sinhgad Academy of Engineering, Pune, India Assistant Professor, Dept. Of Computer Engineering, Sinhgad Academy of Engi, “Optical Character Recognition,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

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