Research on book call number recognition under complex color background
Xiaolin Ren, Yi Ting Yang, Long Gao, Han Qingqing, Jingya Yu · 2020
Aiming at the problem that the current book call number recognition system does not consider background color interference and intercepts the book number area directly and subjectively, a method is designed to directly process the random image of books on shelf under the complex color background, so as to realize the self localization of the book number area and the identification of the book number. Filter out other color background interference, locate the call number area, and split the spine image and call number characters, and finally use the template matching method to identify characters. The experimental results show that the accuracy of the algorithm is 96.11% and the recognition rate is 90.83%. Compared with the common methods of combining color space and mathematical morphology processing, the accuracy of location is improved by 31.08%, and it is not affected by complex color backgrounds. It has strong antiinterference and high efficiency.