A New Approach for Text Segmentation Based on Stroke Filter

In order to solve segment text accurately and robustly from a complex background. This paper propose a new algorithm for text segmentation in images by using a stroke filter. In this paper, we design a new algorithm for text segmentation by using the stroke filter. First, we describe the stroke filter briefly based on local region analysis. Second, the determination of text color polarity and local region growing procedures are performed based on the response of the stroke filter. Finally, the feedback procedure by the recognition score from an optical character recognition (OCR) module is used to improve the performance of text segmentation. The proposed algorithm is compared with other algorithms. The experimental results demonstrate that the proposed algorithm obtained satisfactory results.