High-speed and high-resolution number collecting device of banknote sorting machine and identification method

Abstract

The invention provides a high-speed and high-resolution number collecting device of a banknote sorting machine and an identification method. The high-speed and high-resolution number collecting device of the banknote sorting machine comprises image sensors, a multichannel A/D (analog to digital) converter chip, a programmable logic chip, a digital signal processor chip, a dynamic memory chip and a communication structure chip, wherein the image sensors are respectively connected with the multichannel A/D converter chip, the multichannel A/D converter chip is connected with the programmable logic chip, and the programmable logic chip is respectively connected with the digital signal processor chip and the dynamic memory chip. The invention realizes the high-resolution collection to banknote images under the condition of high-speed operation of the banknotes. The contact type image sensors have the advantages of low cost, small volume and low requirements for light source performance. Positioning and cutting thresholds are not needed to be set in the identification method of banknote numbers, so that an accurate positioning and cutting position and ideal identification results can be obtained when the banknotes are depreciated and polluted.

Description

(1) Technical field [0001] The invention relates to image processing technology, in particular to a high-speed and high-resolution number collection device for a banknote sorting machine and a recognition method thereof. (2) Background technology [0002] The existing banknote sorting machine number collection devices are divided into two categories, one is to use the CCD area array image sensor to collect the image of the banknote number area, the device requires a high number of CCD lenses, such as the 201001044234. The device collects images of four areas in two directions of the banknote respectively. These four areas cannot cover all the images of the banknote. The algorithm searches these four areas to determine the location of the number. When the part of the number area is in two adjacent areas, the number area needs to be spliced, which is very difficult to handle, resulting in unsatisfactory recognition accuracy. In addition, the use of CCD image sensors has high ...

AI Technical Summary

Problems solved by technology

When the part of the number area is in two adjacent areas, the number area needs to be spliced, which is difficult to deal with, resulting in unsatisfactory recognition accuracy

In addition, the use of CCD image sensors requires high light source performance and large object distances, resulting in large equipment and unattractive appearance.

The other is to use a contact image sensor (CIS) to collect banknote images, and use a digital signal processor (DSP) to identify banknote numbers, such as the solutions provided by ZL200610155872.0 and 20100104848.0 patents. This type of method is due to the integration time of contact image sensors. The constraint of the minimum value limits the running speed of banknotes

In addition, the imaging quality of the contact image sensor is poor, and the existing banknote number positioning and segmentation methods cannot obtain accurate positioning and segmentation positions when banknotes are depreciated and polluted, resulting in the inability to obtain ideal banknote number recognition results

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