Image recognition method and system

Abstract

The invention discloses a method and a system for recognizing images, which relate to a method and a system for recognizing static target images by adopting the image recognition technology. The invention solves the problem that the recognition speed is relatively slower in the prior image recognition technology. The method and the system for recognizing the images are characterized in that image information in the identification area and characteristic information in the identification area are stored as template information, then the area to be recognized in the images to be recognized is confirmed by adopting the identification area, then the characteristic information in the identification area is compared with that in the area to be recognized, when the similarity of both characteristic information in the identification area and that in the area to be recognized is in the error range, users consider that the images to be recognized and the target images are mutually matched, so as to realize image recognition, in the recognition process, the characteristic information in the area to be recognized is just needed to compare, the data quantity is less, and the logical reasoning and the mathematical operation of the characteristic information are not required, thereby quickening the speed of image recognition. The invention is mainly used for searching matched images, for example, bill recognition, seal recognition and the like.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a method and system for recognizing static target images using pattern recognition technology. Background technique [0002] Image recognition, as a high-end technology in office automation, is developing continuously with the development of pattern recognition technology, and is being actively promoted and applied. For example: Some airports use fingerprint recognition technology for identity verification. Pattern recognition is a process of automatically recognizing shapes, patterns, curves, numbers, character formats and graphics by using computer and mathematical reasoning methods starting from a large amount of information and data, based on expert experience and existing knowledge. Pattern recognition includes two interrelated stages, namely the learning stage and the realization stage; the learning stage is to select the characteristics of the samples and find t...

AI Technical Summary

Problems solved by technology

[0005] In the above target image recognition technology, image feature information extraction and target recognition process need to complete a large number of image information processing and mathematical statistics calculations, and also include complex mathematical transformations and deductive reasoning, making the process of image target recognition relatively slow , the technology is complex, and the recognition accuracy is not high; due to the relationship between the combination of feature information values ​​and the target image, a large number of experiments are required to obtain empirical data, or obtained through expert system technology, each time a new recognition field is encountered , it is necessary to re-acquire a large amount of empirical data, and establish a set of relationship between the value combination of feature information and the target image. Therefore, the recognition system formed by the existing recognition method has poor versatility.

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