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http://dx.doi.org/10.6109/jkiice.2014.18.2.318

A Study on Performance Improvement of Business Card Recognition in Mobile Environments  

Shin, Hyunsub (Department of Computer Engineering, Graduate School of Information & Communications, Hanbat National University)
Kim, Chajong (Department of Computer Engineering, Hanbat National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.18, no.2, 2014 , pp. 318-328 More about this Journal
Abstract
In this paper, as a way of performance improvement of business card recognition in the mobile environment, we suggested a hybrid OCR agent which combines data using a parallel processing sequence between various algorithms and different kinds of business card recognition engines which have learning data. We also suggested an Image Processing Method on mobile cameras which adapts to the changes of the lighting, exposing axis and the backgrounds of the cards which occur depending on the photographic conditions. In case a hybrid OCR agent is composed by the method suggested above, the average recognition rate of Korean business cards has improved from 90.69% to 95.5% compared to the cases where a single engine is used. By using the Image Processing Method, the image capacity has decreased to the average of 50%, and the recognition has improved from 83% to 92.48% showing 9.4% improvement.
Keywords
Business Card; Mobile; Image Processing; Binarization;
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