Research On Extraction And Registration Algorithm For Check Seal Verification

In the oriental countries, such as China, Japan and Korea, seals are extensively used for the purpose of entity identification. In China, seals play a more important role. With the development of social economy, the portfolio of the bank increases day by day. So the traditional method of manual check seal identification cannot readily meet the needs of banking transactions. While there is only a single criterion in the existing bank seal automatic recognition system of market with the deficiencies of low precision. Thus, carrying on further research of extraction and registration algorithm for check seal identification has higher practical meaning and theoretical meaning.On the foundations of the research reports and scientific papers of domestic and international, we focus on extraction and registration algorithm for Check Seal verification using theory of image processing and pattern recognition. In this paper, we analyze the complex characteristics of check seals firstly. To eliminate the difference of producing conditions and the disturbance caused by background and writing in check image, many methods are used in the pre-processing of check seal verification, such as color components transformation, linearity transform to gray image, medium value filter, Otus, close calculations and labeling algorithm of mathematical morphology. After the processes above, the good binary seal image can be obtained.We bring forward the algorithm of the Seed Spread Filling Holes and Multi-Hough Circle Detection. Using these algorithms, we calculate the characteristic of seal reserved and get the rotundity and squareness seal from check image. The seal extraction processing corrects the existing method's shortcomings of treatment seal on individual. In order to repair the seal character defect, we establish three benchmarks image to find the defect's location and repair it using thinning and expansion algorithm.On the basis of traditional registration algorithm, we bring forward a double-level registration method including rough and precise registration method. The rotate angle of precise registration method can be précised to 0.1o.We introduce the concepts of difference inside and difference outside and use the percent of difference inside and difference outside to judge whether the seal is real or fake. The result of a mass of check seals is satisfied. Therefore, the above methods and algorithmic have got quite good registration effect.