2008-10-01

[IJ] PDA-based Text Extraction System using a Pipelined Client/Server Architecture

Under Review
(Journal of Zheijiang University, SCIENCE A - SCIE)

Abtract.

Recently, many researches about mobile vision using a personal digital assistant (PDA) have been attempted. However,many CPUs for the PDA are integer CPUs, which results in slow computation of the computer vision algorithms. To implementreal-time text extraction system on the PDA, we propose a fast and efficient a pipelined client(PDA)/server(PC) architecture withload-balancing. The client extracts tentative text regions using edge density, which results in faster transmission time because theresult images are suitable for JPEG encoding style. The server promotes accuracy by performing definitive text extraction usingmulti-layer perceptron and connected component analysis, and extracts texts only in the client’s results to enhance the processingtime of the server. We construct pipelined client/server architecture for sequential images so that it enables each process of theclient and server to be performed in parallel. Moreover, the proposed architecture can balance the client and server by regulatingthe amount of tentative text regions that will be transferred to the sever from the client. As a result, we can enhance the processingspeed of the overall architecture by reducing data transmission time and idle time between both processors.

Keywords: Mobile Vision, Text Extraction, MLP.

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http://hci.ssu.ac.kr/ajpark/[IJ]PDAbased.pdf
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