Document Detail


Forged seal detection based on the seal overlay metric.
MedLine Citation:
PMID:  21890293     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
This paper describes a method for verifying the authenticity of a seal impression imprinted on a document based on the seal overlay metric, which refers to the ratio of an effective seal impression pattern and the noise in the neighborhood of the reference impression region. A reference seal pattern is obtained by taking the average of a number of high-quality impressions of a genuine seal. A target seal impression to be examined, often on paper with some background texts and lines, is segmented out from the background by an adaptive threshold applied to the histogram of color components. The segmented target seal impression is then spatially aligned with the reference by maximizing the count of matching pixels. Then the seal overlay metric is computed for the reference and the target. If the overlay metric of a target seal is below a predetermined limit for the similarity to the genuine, then the target is classified as a forged seal. To further reduce the misclassification rate, the seal overlay metric is adjusted by the filling rate, which reflects the quality of inked pattern of the target seal. Experiment results demonstrate that the proposed method can detect elaborate seal impressions created by advanced forgery techniques such as lithography and computer-aided manufacturing.
Authors:
Joong Lee; Seong G Kong; Young-Soo Lee; Ki-Woong Moon; Oc-Yeub Jeon; Jong Hyun Han; Bong-Woo Lee; Joong-Suk Seo
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-9-2
Journal Detail:
Title:  Forensic science international     Volume:  -     ISSN:  1872-6283     ISO Abbreviation:  -     Publication Date:  2011 Sep 
Date Detail:
Created Date:  2011-9-5     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7902034     Medline TA:  Forensic Sci Int     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.
Affiliation:
Forensic Medicine Division, National Forensic Services, Seoul 158-707, South Korea.
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