METHOD AND SYSTEM FOR RECOGNIZING BILL WITH ABNORMAL THICKNESS

摘要

A method and system for recognizing a bill with an abnormal thickness. The method comprises: collecting the thickness signals of the bills in multi-channel to obtain multi-channel thickness signals (501); preprocessing the multi-channel thickness signals (502); searching the mutation points inside the multi-channel thickness signals according to a predetermined rule to form a mutation point set (503); determining the abnormal thickness suspicious regions of the multi-channel thickness signals according to the mutation point set (504); determining the thickness signal abnormal regions of the multi-channel thickness signals according to the abnormal thickness suspicious regions, and marking the positions and the area of the thickness signal abnormal regions (505); fusing the positions and the area of the thickness signal abnormal regions of the multi-channel thickness signals to obtain a fused result (506); recognizing the fused result to obtain a recognizing result (507). The recognizing method can effectively solve a problem of misjudging a normal bill due to a larger amplitude value fluctuation of a harmonic signal and a problem of missing a damaged bill, a counterfeit bank note or the like caused by insufficient signal sampling through lower calculation complexity in manner of detecting the mutation point of the thickness signal.

主权项

1. A method for recognizing a banknote with an abnormal thickness, comprising:
collecting thickness signals of a banknote through multiple channels to obtain a plurality of thickness signals; preprocessing the plurality of thickness signals; searching for jump points in the plurality of thickness signals according to a predetermined rule, to form a jump point set; determining abnormal thickness suspicious regions of the plurality of thickness signals based on the jump point set; determining thickness signal abnormal regions of the plurality of thickness signals based on the abnormal thickness suspicious regions, and marking positions and areas of the thickness signal abnormal regions; combining the positions and the areas of the thickness signal abnormal regions of the plurality of thickness signals, to obtain a combining result; and recognizing the combining result to obtain a recognizing result.