Optical Character Recognition using MATLAB

Kumari, Krishna K and Mohanty, Preeti and Nayak, Gurudas C (2011) Optical Character Recognition using MATLAB. In: DRDO Sponsored Eighth Control Instrumentation System Conference.

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Abstract

Optical character recognition, usually abbreviated to OCR, is the mechanical or electronic translation of scanned images of handwritten, typewritten or printed text into machine-encoded text. It is widely used to convert books and documents into electronic files, to computerize a record-keeping system in an office, or to publish the text on a website. OCR makes it possible to edit the text, search for a word or phrase, store it more compactly, display or print a copy free of scanning artifacts, and apply techniques such as machine translation, text-to-speech and text mining to it. OCR is a field of research in pattern recognition, artificial intelligence and computer vision. OCR systems require calibration to read a specific font; early versions needed to be programmed with images of each character, and worked on one font at a time. "Intelligent “systems with a high degree of recognition accuracy for most fonts are now needed. Hence this paper attempts to develop an intelligent OCR system to store the documents in electronic form using Matlab

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: OCR, Optical character recognition character classification, segmentation.
Subjects: Engineering > MIT Manipal > Instrumentation and Control
Depositing User: MIT Library
Date Deposited: 20 Feb 2014 07:05
Last Modified: 20 Feb 2014 07:05
URI: http://eprints.manipal.edu/id/eprint/138900

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