Multi-specification text collaborative positioning and extracting method

The invention relates to a multi-specification text collaborative positioning and extracting method. The method comprises the following steps of 110, acquiring text image data; 120, performing image normalization operation; 130, separating image background information and foreground information needed to be collected; 140, performing global collaborative search, and extracting text block regions in a preset format; 150, performing local optimization search, and optimizing the positions of the text regions one by one within a small range; and 160, outputting text block positioning results, andproviding the text block positioning results for a subsequent individual character segmentation and recognition module. According to the method, the technologies of image processing, target detection,collaborative searching, local optimization and the like are utilized; the requirements of formatted data collection are met; the problems of missing detection and wrong detection after degradation of certain text blocks are