[IC] PDA-based Text Localization System using Client/Server Architecture

Abstract.

Recently, several research results of image processing are proposed on the mobile vision system. Many CPUs for Personal Digital Assistant (PDA) are integer CPUs, which have no floating-computation component. It results in slow computation of the algorithms constructed by using neural networks, which have much floating-computation. In this paper, in order to resolve this weakness, we propose an effective text localization system with the Client(PDA)/Server(PC) architecture which is connected to each other with a wireless LAN. The Client(PDA) compresses tentative text localization results in JPEG format for minimizing the transmission time to the Server(PC). The Server(PC) uses both the Multi-Layer Perceptron(MLP)-based texture classifier and Connected Components(CCs)-based filtering for a precise text localization based on the Client(PDA)'s tentative extraction results. The proposed method leads to not only faster running time but also efficient text localization.

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Aug. 2004.