ISSN: 2277-9655 [Tomar * et al., 7(4): April, 2018] Impact Factor: 5.164 IC™ Value: 3.00 CODEN: IJESS7 http: // www.ijesrt.com© International Journal of Engineering Sciences & Research Technology [233] IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY A REVIEW: OPTICAL CHARACTER RECOGNITION Swati Tomar *1 & Amit Kishore 2 *1 M. Tech Scholar, Cyber Security, Site, Subharti University 2 Assistant professor, Cyber Security, Site, Subharti University DOI: 10.5281/zenodo.1213078 ABSTRACT This paper presents detailed review in the field of Optical Character Recognition. Various techniques are determine that have been proposed to realize the center of character recognition in an optical character recognition system. Even though, sufficient studies and papers are describes the techniques for converting textual content from a paper document into machine readable form. Optical character recognition is a process where the computer understands automatically the image of handwritten script and transfer into classify character. This material use as a guide and update for readers working in the Character Recognition area. Selection of a relevant feature extraction method is probably the single most important factor in achieving high character recognition with much better accuracy in character recognition systems without any variation. KEYWORDS: Neural Network, Feature extraction, Classification, OCR. I. INTRODUCTION Optical Character acknowledgment has been a subject of research. Example acknowledgment has three principle steps: perception, design division, and example order. Optical Character Recognition (OCR) frameworks is changing expansive measure of reports, either printed letters in order or manually written into machine encoded content with no change, clamor, determination varieties and different variables. In general, handwriting recognition is classified into two types as off-line and On-line character recognition. Off-line handwriting recognition involves automatic conversion of text into an image into letter codes which are usable within computer and text-processing applications. Off-line handwriting recognition is more difficult, as different people have different handwriting styles. But, in the on-line system, On-line character recognition deals with a data stream which comes from a transducer while the user is writing. The typical hardware to collect data is a digitizing tablet which is electromagnetic or pressure sensitive. When the user writes on the tablet, the successive movements of the pen are transformed to a series of electronic signal which is memorized and analyzed by the computer. Optical Character Recognition (OCR) is a field of research in pattern recognition, artificial intelligence and machine vision, signal processing. Optical character recognition (OCR) is usually referred to as an off-line character recognition process to mean that the system scans and recognizes static images of the characters. It refers to the mechanical or electronic translation of images of handwritten character or printed text into machine code without any variation.