Folded bill identification method and device

Abstract

The invention relates to a folded bill identification method and device. The device comprises a bill input port, a signal collection module, a signal identification module and a receiving / rejecting module, wherein the signal identification module further comprises a first high-pass filtering unit, a first low-pass filtering unit, a second high-pass filtering unit, a second low-pass filtering unit, a difference filtering picture unit, a first feature extraction unit, a second feature extraction unit, a third feature extraction unit and an identification decision unit. According to the folded bill identification method and device, features are classified effectively in a high / low pass filtering manner, so that the distinguishability of the features are improved; especially, different types of features correspond to different classifiers; furthermore, the classifiers have similar functions with an Adaboost classifier and can ensure the identification confidence level, so that an identification system is relatively robustly compatible with complex situations, such as external environment interference and bill body pollution; the whole folded bill solving method and device can effectively identify folded bills.

Description

technical field [0001] The invention relates to the technical field of financial self-service equipment, in particular to a method and device for identifying folded bills. Background technique [0002] As one of the types of non-negotiable bills, creased bills are no longer suitable for recirculation. Therefore, when creased bills are input into the identification device, the verification device needs to identify and classify them as non-negotiable bills. [0003] However, due to the influence of existing imaging equipment, illumination changes, imaging environment and other factors, the signal obtained by the signal acquisition module of the self-service equipment is not robust enough, which in turn affects the characteristics of the wrinkled bill in the signal. Difficulty in identifying wrinkled bills. [0004] Feature description is the key prerequisite for the identification of wrinkled bills. Based on the existing signals, it is difficult to use a single feature descri...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem in the prior art that it is difficult to distinguish wrinkled bills from disturbed or polluted bills, the present invention proposes a wrinkled bill identification method and device, which uses a feature classification method based on a high / low pass filter to Effective feature description of the characteristic area of ​​bill folds, and ultimately improve the identification performance of the identification device for folded bills

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