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Neural Network Based Text Detection in Videos Using Local Binary Patterns

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3 Author(s)
Jun Ye ; Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China ; Lin-Lin Huang ; Xiaoli Hao

The detection of texts in video images is an important task towards automatic content-based information indexing and retrieval system. In this paper, we propose a texture-based method for text detection in complex video images. Taking advantage of the desirable characteristic of gray-scale invariance of local binary patterns (LBP), we apply a modified LBP operator to extract feature of texts. A polynomial neural network (PNN) is employed to make classification. The PNN is trained with large quantities of samples collected using a bootstrap strategy. In addition, post-processing procedure including verification and integration is performed to refine the detected results. The effectiveness of the proposed method is demonstrated by experimental results.

Published in:

Pattern Recognition, 2009. CCPR 2009. Chinese Conference on

Date of Conference:

4-6 Nov. 2009

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