Research On Key Technology Of Rapid Recognition Method For Seal Imprint Verification

At present, most banks still identify the authenticity of the check seal through the traditional method of human eyes. It is difficulty to satisfy the need of current financial system in accuracy and speed. In recent years appeared PC-based sole check seal automatic identification system, but existing equipment big volume, the high cost and the non-real-time faults. Now, along with the development of embedded system based on embedded system design, the sole check seal authenticity automatic identification system research has been paid more attention to. But the system adopt sole check recognition, therefore detection efficiency is low. With domestic check began to different circulation and personal checks occurrence, check the circulation quantity also increased dramatically, therefore, the existing leaflet check seal automatic identification system on the basis of research set continuous sampling, recognition in one of the check seal fast detection methods and key technology are of great significance.This topic is to develop a rapid authenticity of batch seal inspection system of check seal. The aim of system is for high-speed processing seal image. On the basis of analysis of images treatment of check seal and algorithm detection and combination with the characters of the algorithm and the batch processing of check, rapid authenticity detection method was analyzed and the related design method from image data collection to process was proposed. And then, a dual-core high-speed check seal inspection system based on embedded system combination with check seal images collection, pro-process and authenticity automatic detection was realized in this paper. The main work is as follows:1,Realizing the checks seal images quickly calibration. On the basis of image acquisition process, it was Established that distortion and rehabilitation model. It was realize image splice correction through the dislocation joining. Two points methods was used to calibrate sensor inconsistency. It was used that two method to correct the Horizontal distortion and Longitudinal distortion. For Horizontal distortion, standard trajectory comparison method could be used to correct. For Longitudinal distortion, Through comparing the differences between two adjacent pixels rows to determine and delete redundance pixels rows to correct works. Experiment results showed, the check image after correction can satisfact the follow-up processing requirements. 2,It was proposed the color segmentation method based on image background analysis. The color calibration coefficient was introduced to seal imprint segment and binary algorithm. According to the different color background seal binary image quality evaluation, find out all sorts of color background image best color calibration coefficient. In the image segmentation processing, according to background colors, the most appropriate color calibration coefficient of image could be found directly and used it to color segment and seal binary algorithm. This method could in a very short time get remove background and retain the seal up the text details binary image.3,It was proposed the color segmentation method based on image background analysis. The color calibration coefficient was introduced to seal imprint segment and binary algorithm. According to the different color background seal binary image quality evaluation, find out all sorts of color background image best color calibration coefficient. In the image segmentation processing, according to background colors, the most appropriate color calibration coefficient of image could be found directly and used it to color segment and seal binary algorithm. This method could in a very short time get remove background and retain the seal up the text details binary image.4,Design and implement of hardware of check seal fast detection system. The model of double processor quick check seal detection system data processing parts was established. The relationship between data bits wide and bus bitwidth in SOC system was analyzed. The transformation method of data bits wide to the bus bitwidth bitwidth was proposed. Finally, the light sources, lens, image sensor, frequency-field chips, drive information chips of the system were designed and chosen, and then test system of quickly check image acquisition finished.