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Farsi/Arabic Text Extraction from Video Images by Corner Detection

Publish Year: 1389
Type: Conference paper
Language: English
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Document National Code:

ICMVIP06_140

Index date: 9 April 2011

Farsi/Arabic Text Extraction from Video Images by Corner Detection abstract

Video text information plays an important role in semanticbased video analysis, indexing and retrieval. In this paper, we proposed a novel Farsi text detection approach based on intrinsic characteristics of Farsi text lines, which is more robust to complex backgrounds and various font styles. First, by an edge detector operator, all the possible edges in vertical, horizontal, 45 and 135 degrees are extracted. Then, for extracting text strokes, some pre-processing such as dilation and erosion are done according to the font size. Afterward, by finding the edges cross points, corners map is extracted. To discard non-text corners and finding real font size, histogram analysis is done. After finding real font size, input image is rescaled and a new corner map is extracted. Finally, the detected candidate text areas undergo the empirical rules analysis to identify text areas and project profile analysis for verification and text lines extraction. Experimental results demonstrate that the proposed method is robust to font size, font colour, and background complexity.

Farsi/Arabic Text Extraction from Video Images by Corner Detection Keywords:

Farsi and Arabic languages , video images , text detection and extraction , edge and corner detection

Farsi/Arabic Text Extraction from Video Images by Corner Detection authors

Mohieddin Moradi

Electrical & Computer Engineering Department, Semnan University

Saeed Mozaffari

Electrical & Computer Engineering Department, Semnan University

Ali Asghar Orouji

Electrical & Computer Engineering Department, Semnan University