A Standalone OCR System for Mobile Cameraphones

Author

Laine, Mikael ; Nevalainen, Olli S.

Author_Institution

Dept. of Inf. Technol., Turku Univ.

fYear

2006

fDate

11-14 Sept. 2006

Firstpage

1

Lastpage

5

Abstract

In optical character recognition (OCR), visible characters appearing as images (i.e. on paper) are recognized as symbolic characters and stored in a computer´s memory or similar device. The purpose of this work is to find whether current mobile cameraphones are able to run OCR software without relying on dedicated hardware or facilities provided by the network. This article describes a simple OCR system that was implemented in Symbian C++ to be run on a stock Nokia 6630 cameraphone. The system is limited to recognizing English capital letters printed in black, against a white background. The opportunities and hardships related to bringing OCR to run on mobile platforms having image capturing capability are also discussed in more general terms

Keywords

CCD image sensors; mobile handsets; optical character recognition; Nokia 6630 cameraphone; OCR software; Symbian C++; mobile cameraphones; optical character recognition; standalone OCR system; Character recognition; Computer science; Hardware; Image recognition; Image segmentation; Information technology; Mobile computing; Mobile handsets; Optical character recognition software; Optical devices; Symbian C++; mobile devices; optical character recognition; pattern recognition; segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Personal, Indoor and Mobile Radio Communications, 2006 IEEE 17th International Symposium on

Conference_Location

Helsinki

Print_ISBN

1-4244-0329-4

Electronic_ISBN

1-4244-0330-8

Type

conf

DOI

10.1109/PIMRC.2006.254074

Filename

4022789