Abstract
Recently, several research results of image processing are proposed on the mobile vision systems. 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 extracting results. The proposed method leads to not only faster running time but also efficient text localization.
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© 2004 Springer-Verlag Berlin Heidelberg
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Park, A., Jung, K. (2004). PDA-Based Text Localization System Using Client/Server Architecture. In: Zhang, C., W. Guesgen, H., Yeap, WK. (eds) PRICAI 2004: Trends in Artificial Intelligence. PRICAI 2004. Lecture Notes in Computer Science(), vol 3157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28633-2_88
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DOI: https://doi.org/10.1007/978-3-540-28633-2_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22817-2
Online ISBN: 978-3-540-28633-2
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