Image character recognition system

Abstract

The invention relates to the field of image recognition processing, in particular to an image character recognition system. The system comprises an image character segmentation module, a feature image generation module, a storage module, a normalization processing module and an image character recognition module. The image character segmentation module segments a to-be-processed image into sub-pictures, wherein each sub-picture comprises a single character and is stored in the storage module. The feature image generation module manufactures a corresponding character feature picture and stores the character feature picture into the storage module according to the typeface of a to-be-recognized image character. The normalization processing module extracts the feature picture and the to-be-recognized sub-picture stored in the storage module, carries out normalization processing according to corresponding types, and stores the processed picture information in the storage module. The image character recognition module extracts the sub-picture in the storage module, and calculates the coincidence degree of the sub-picture and the feature picture by use of the exclusive OR algorithm, thereby achieving recognition of character contents of the sub-picture and inputting the recognition results.

Description

Technical field [0001] The field of image recognition of the present invention particularly relates to an image character recognition system. Background technique [0002] With the development of society and the progress of science and technology, the knowledge created by mankind is increasing exponentially. Before the advent of e-books, most of the knowledge was passed on in the form of books. China has produced a large number of outstanding products for five thousand years. Books. These books have been damaged to different degrees in the long river of history. Therefore, it is urgent to digitally store these books; in the field of book management, fast search of book content is very helpful for quickly locating books. Due to the large number of books, and the early printed books did not have the author's electronic manuscript, the digitalization of paper books is necessary. [0003] Optical character recognition software is a powerful tool for processing this kind of paper book ...

AI Technical Summary

Problems solved by technology

However, when the text in the image is glued together and the image contains Chinese characters with a left-right structure, it is difficult to achieve a good segmentation effect with a simple projection method; it is for this reason that segmentation has always been a difficulty in OCR recognition , the quality of segmentation will directly affect the text recognition effect

[0005] In addition, the main function of optical character recognition software is to recognize characters in photographed and scanned pictures. For scanned copies of some special fonts, official seals, photographs, such as early printed books, certificates made by government units, etc., due to historical reasons and confidentiality and security needs , the fonts are often specially made, the existing optical character recognition software mainly focuses on machine learning methods, the model has a large amount of computation, and because the training font samples do not cover the special fonts, the recognition accuracy of special fonts is not high, serious Influencing the digitization of paper documents

[0006] Most of the existing technologies use neural network machine learning algorithms to recognize characters, which requires the production of a large number of samples and takes a lot of time for training, and the generated model files are very large, and the recognition rate is not the same for characters of different fonts. The recognition rate of some special font characters is relatively low, and it is difficult to meet the character recognition in some special scenarios

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