Banknote management method and system

Abstract

The invention provides a banknote management method. The method comprises that a banknote information processing device is used to collect, identify and process banknote features and further to obtain banknote feature information; the banknote feature information, business information as well as information of the banknote processing device is transmitted to a master control server; and the master control server processes the received information and classifies banknotes. The invention also provides a corresponding banknote management system. According to the method, the operation speed is ensured, the identification robustness is improved, and accuracy and practicality in practical application are ensured.

Description

technical field [0001] The invention belongs to the field of finance, and in particular relates to a banknote management system and a method thereof. Background technique [0002] With the continuous improvement of the application level of financial information, the currency anti-counterfeiting, business process management and financial security of the banking system are gradually becoming intelligent. Banknote distribution management, damaged currency management and cash storage management are of great significance. [0003] Banknote management is mainly for the comprehensive processing of banknote information, business information and other information. The serial numbers in banknote information play an increasingly important role in banknote management. By associating the serial number information with business information, you can Greatly facilitate banknote tracking and inquiry. This makes the collection and identification of serial numbers and other information in ba...

AI Technical Summary

Problems solved by technology

In the DSP identification method, it is often limited to the network transmission efficiency and the influence on the position and orientation of the banknote in the DSP identification, and the identification efficiency and the robustness of the identification algorithm are relatively poor. For example, in the patent application number CN201510702688.2 In the application, the edge is fitted through the gray threshold and direction search, and then the edge line is screened through the threshold to obtain the slope of the area. Combined with neural network training to identify the face, it is identified through progressive scanning and subsequent neural network. Serial number

[0005] Another example is in a prior art, such as the paper "Research and Implementation of RMB Sorting Method Based on Image Analysis", which has adopted the method of convolutional neural network to identify the serial number. However, in the above-mentioned scheme, only the most Simple binarization divides the characters, which cannot effectively tighten the characters, and this will directly affect the amount of data that needs to be processed in the follow-up, and directly affect the practical value of the algorithm; The size processing does not effectively tighten the preprocessed and segmented images and effectively normalize the image data, and this simple size

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