A video text detection and recognition system
Jie Xi, Xian‐Sheng Hua, Xiang-Rong Chen, Liu Wenyin, Hong-Jiang Zhang · 2001
In this paper, we propose a new system for text information extraction from news videos. First of all, a method that integrates text detecting and text tracking is developed to locate text areas in the key-frames (images), together with a scheme to evaluate the performance of this approach. To get better recognition results, we then enhance the quality of the detected text blocks by multi-frame averaging. Finally, we use an adaptive thresholding method to binarize the text blocks and recognize the text using an off-the-shelf OCR module. The detection and recognition rate of the proposed system are 94.7 % and 67.5 % respectively. 1.