Automatic seal identification using fluency function approximation and relaxation matching method

Yang, Yee‐Hong; Horiuchi, Takahiko; Toraichi, Kazuo

doi:10.1109/icdar.1993.395620

Cited by 11 publications

(2 citation statements)

References 4 publications

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“…Meanwhile, it also has got some progress in identification of seal authenticity which applies computer technology, such as: A polar coordinates and wavelet method to seal image registration [2]. In foreign countries, there are some researches on aspect of seal matching and recognizing as well, such as automatic seal identification using fluency function approximation and relaxation matching method [3]. Meanwhile, there rarely any research cases with the help of computer technologies and human artificial.…”

Section: Introductionmentioning

confidence: 99%

Research of the Seal Imprint Time Verification Method Based on Neural Network

Jia

2010

2010 International Conference on Intelligent System Design and Engineering Application

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Aiming at assisting the document inspectors to identify the seal imprint time, a classification identification method is proposed based on BP NN (Neutral Network). This paper built a seal stamp characteristics index system aided by the recognition experience of famous inspectors, then, extracted and quantized the characteristic parameters. With these parameters, building BP NN training and testing models could help to identify the real range of seal imprint time. The experiment was implemented on the extracted seal characteristics data by using the Matlab Neural Network toolbox. Experiment results demonstrate the effectiveness and feasibility of the seal imprint time classification verification method based on BP NN.

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Section: Introductionmentioning

confidence: 99%

Research of the Seal Imprint Time Verification Method Based on Neural Network

Jia

2010

2010 International Conference on Intelligent System Design and Engineering Application

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“…paintings, proposals, money withdrawing lists, checks, receipts, etc. In the past, many pattern recognition techniques have been proposed for the seal identification, e.g., the use of fluency function approximation and relaxation matching method [2], the implementation of "hardmatching" principle [3], etc. The quality of seal imprint is strongly related to the paper's material, the setting pressure, and the orientation of setting the seal.…”

Section: Introductionmentioning

confidence: 99%

Registration of Seal Images Using Contour Analysis

Chen

2003

Image Analysis

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Many types of noise can be present in an image. Registration becomes difficult when the concerned pattern contains a "seal noise." In this paper, the seal noise appearing inherently in a seal image is introduced. The registration of seal images used widely in many commercial applications in Chinese society is presented. An effective approach using contour analysis for finding the principal orientation of a seal image is developed for the registration task. Three types of seal image of the author's own are used for exper iments, and results obtained by a moment-based method are given for comparison.

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