Multi-country banknote serial number character recognition method based on image fingerprints

Abstract

The invention discloses a multi-country banknote serial number character recognition method based on image fingerprints and belongs to the technical field of banknote pattern recognition. The method comprises: based on a template set and a sample set of multi-country banknote serial number character images, generating training sample data by a perceptual hash algorithm; constructing a classification model based on a SVM classifier; training the classification model by using the training sample data; and recognizing the serial number character image of a banknote to be processed by using the trained classification module. The method of the invention converts a single feature in the process of recognizing the serial number character of the banknote into a plurality of features, and uses themethod based on the SVM classifier to recognize the characters, has small sample demand, fast training speed, fast recognition speed, a good anti-interference ability and can improve the fault tolerance rate during prediction.

Description

technical field [0001] The invention relates to the technical field of banknote pattern recognition, in particular to a method for recognizing characters of multi-national banknote serial numbers based on image fingerprints. Background technique [0002] At present, financial equipment that supports multi-national currency processing has become a development trend. Currency recognition technology based on digital image processing has also been widely used. With the wide application of optical character recognition technology in human production and life, banknote serial number character recognition has become As an important means of preventing economic crimes in the economic field, automatic optical character recognition technology has attracted more and more attention from researchers. How to improve the accuracy and efficiency of character recognition is the most worthy of attention in this field. [0003] The work to be carried out in the traditional recognition method o...

AI Technical Summary

Problems solved by technology

[0003] The traditional recognition method of serial characters requires cumbersome work, and if the characters are not handled properly, it may directly lead to a large deviation in the recognition results

In terms of feature extraction, some character recognition methods extract specific features of pictures by scanning images, such as concavo-convexity, connected domains, intersections of horizontal and vertical lines, etc., which are fast and have high resolution, but the disadvantage is that the anti-noise ability is low, so picture character recognition Accuracy is not ve...

Images