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PDA-based Text Extraction System using Client/Server Architecture  

Park Anjin (숭실대학교 미디어학부)
Jung Keechul (숭실대학교 미디어학부)
Publication Information
Journal of KIISE:Software and Applications / v.32, no.2, 2005 , pp. 85-98 More about this Journal
Abstract
Recently, a lot of researches about mobile vision using Personal Digital Assistant(PDA) has been attempted. Many CPUs for PDA are integer CPUs, which have no floating-computation component. It results in slow computation of the algorithms peformed by vision system or image processing, which have much floating-computation. In this paper, in order to resolve this weakness, we propose the Client(PDA)/server(PC) architecture which is connected to each other with a wireless LAN, and we construct the system with pipelining processing using two CPUs of the Client(PDA) and the Server(PC) in image sequence. The Client(PDA) extracts tentative text regions using Edge Density(ED). The Server(PC) uses both the Multi-1.aver Perceptron(MLP)-based texture classifier and Connected Component(CC)-based filtering for a definite text extraction based on the Client(PDA)'s tentativel99-y extracted results. The proposed method leads to not only efficient text extraction by using both the MLP and the CC, but also fast running time using Client(PDA)/server(PC) architecture with the pipelining processing.
Keywords
Mobile Vision; PDA; Text Extraction; MLP; Texture; Connected Component; CC; CAMShift;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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