Text Detection Based on Affine Transformation

Text detection and recognition plays an important roles in many computer vision based systems, since text can provide explicit content information. In natural scene, variations of scale, rotation and position are the main challenges for text detection and recognition algorithms. Thus, rectified text region is required for most text recognition algorithm. In this paper, we proposed a text detection method which can provide accurate text region. With the external quadrilateral of text region, the affine parameters can be estimated. Consequently, the distorted text region can be rectified according to the affine parameters. The proposed method can provide more accurate detection result for text region. In addition, it can enhance the performance of text recognition. The experiments show the effectiveness of the proposed method.