International Journal of Engineering Research in Electronics and Communication Engineering (IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume3,November 2016,

Topic : A Review of the Optical Character Recognition Methodology in Image Processing Techniques

Authors:Dr. T.C.Manjunath || Pavithra G , M.R. Prasad

Abstract:This review paper deals with a review of the optical character recognition using the Matlab software. OCR or optical character recognition is the process of converting scanned images of machine-printed or handwritten text (numerals, letters, and symbols) into a computer-processable format; also known as optical character recognition (OCR). A typical OCR system contains three logical components, viz., an image scanner, OCR software and hardware, and an output interface. OCR systems can largely be grouped into two categories: task-specific readers and general-purpose page readers. A task-specific reader handles only specific document types. Such as bank checks, letter mail, or credit-card slips. General-purpose page readers are designed to handle a broader range of documents such as business letters, technical writings, and newspapers. The relevant literature presented here will be of an extensive use to many of the readers who are pursuing a research in the design & development of optical character recognition systems.

Keywords: OCR, Scanner, document, task-specific readers, General-purpose page readers.

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DOI: 01.1617/vol3iss11pid482


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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,
CHINA


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ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
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