Implementation of OCR Based on Template Matching and Integrating it in Android Application
Keywords:
Android application, Augmented reality, Optical Character Recognition (OCR)Abstract
Smart lens is an implementation of OCR in an android application which is an augmented reality meaning application. It uses built in camera on smart phones to quickly scan an image to find and recognize the word and then displays the meaning of the given word on the device’s display. Its main component is optical character recognition (OCR), which is used to identify words in that image and uses a dictionary to provide the meaning. Optical character recognition is an electronic or mechanical process which converts handwritten, typed or printed text into machine encoded text. The desired word is extracted and the word undergoes various processes like filtering, gray scaling, binarization, feature extraction and character recognition. In this paper we present a way to build an OCR which can be used to read the text and thereby integrating it into the android application which will provide the meaning for the word using the inbuilt dictionary.
References
RavinaMithe, SupriyaIndalkar, NilamDivekar, “Optical Character Recognition”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-2, Issue-1, March 2013.
R. Smith, “An overview of the Tesseract OCR Engine”, Proc 9th Int. Conf. on Document Analysis and Recognition, IEEE, Curitiba, Brazil, Sep 2007, pp629-633.
G.Vamvakas, B.Gatos, N. Stamatopoulos, and S.J.Perantonis,“A Complete Optical Character Recognition Methodology for Historical Documents”, Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research “Demokritos”, GR-153 10 AgiaParaskevi, Athens, Greece.
Faisal Mohammad, JyotiAnarase, Milan Shingote, Pratik Ghanwat, “Optical Character Recognition Implementation Using Pattern Matching”, International Journal of Computer Science and Information Technologies, Vol. 5 (2) , 2014.
VeljkoPapiü, ŽeljkoDjuroviü and BrankoKovaþeviü, “OCR Based on ARG Matching Algorithm”, Systems Control Department at the Faculty of Electrical Engineering University of Belgrade Belgrade, 11120, Serbia and Montenegro.
Sang Sung Park, Won Gyo Jung, Young Geun Shin, Dong-Sik Jang, “Optical Character Recognition System Using BP Algorithm”, IJCSNS International Journal of Computer Science and Network Security, VOL.8 No.12, December 2008.
Karina Toscano, Gabriel Sanchez, Mariko Nakano, Héctor Perez, Makoto Yasuhara, “Cursive Character Recognition System”, Proceedings of the Electronics, Robotics and Automotive Mechanics Conference (CERMA'06) 0-7695-2569-5/06, 2006.
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