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Information Journal Paper

Title

FARSI/ARABIC TEXT DETECTION AND LOCALIZATION IN VIDEO FRAMES

Pages

  87-104

Abstract

 Video TEXT DETECTION plays an important role in applications such as semantic-based video analysis, text information retrieval, archiving and so on. In this paper, a FARSI/ARABIC TEXT DETECTION approach is proposed. First, a three-level resolution pyramid of input image is created. Then, with an appropriate edge detector, edges are extracted and then by using edges cross points, ARTIFICIAL CORNERs are extracted. ARTIFICIAL CORNER histogram analysis is done for rejecting non-text corners. The discrete cosine transform (DCT) coefficients of input picture are extracted and texture intensity picture is created by combining appropriate coefficients. With combining ARTIFICIAL CORNERs image and texture intensity image, a features vector is extracted and fed into support vector machine (SVM) classifier for detecting text regions. Finally, with drawing normalized texture intensity profiles, final verification is done and text lines are separated from each other’s.

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  • Cite

    APA: Copy

    MORADI, MOHIEDDIN, MOZAFFARI, SAEED, & OROUJI, ALI A.. (2013). FARSI/ARABIC TEXT DETECTION AND LOCALIZATION IN VIDEO FRAMES. SIGNAL AND DATA PROCESSING, -(2 (SERIAL 20)), 87-104. SID. https://sid.ir/paper/160820/en

    Vancouver: Copy

    MORADI MOHIEDDIN, MOZAFFARI SAEED, OROUJI ALI A.. FARSI/ARABIC TEXT DETECTION AND LOCALIZATION IN VIDEO FRAMES. SIGNAL AND DATA PROCESSING[Internet]. 2013;-(2 (SERIAL 20)):87-104. Available from: https://sid.ir/paper/160820/en

    IEEE: Copy

    MOHIEDDIN MORADI, SAEED MOZAFFARI, and ALI A. OROUJI, “FARSI/ARABIC TEXT DETECTION AND LOCALIZATION IN VIDEO FRAMES,” SIGNAL AND DATA PROCESSING, vol. -, no. 2 (SERIAL 20), pp. 87–104, 2013, [Online]. Available: https://sid.ir/paper/160820/en

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