• 프린팅코리아
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• v.8 no.8
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• pp.50-55
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• 2009

화폐만 위조의 대상이 아니다. 유사 화폐처럼 사용되는 상품권이라든가 증권, 신분증, 여권 등 그 가지를 함부로 훼손하면 안 되는 광범위한 차원의 각종 '보증서(certificate)'들이 모두 위조의 대상이 될 수 있다. 따라서 앞으로 한국의 보안인쇄기술은 다가올 디지털 사회에서 위조에 대한 불안을 해결하고 진위를 확인할 수 있는 첨단 보안 인쇄 요소 개발을 위한 노력이 절실하다.

• The monthly packaging world
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• s.281
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• pp.95-97
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• 2016

• The monthly packaging world
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• s.312
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• pp.86-90
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• 2019

이번호에는 Videojet Technologies의 산업마케팅매니저인 Chinaecherem Omenyinma가 소비재제품산업에 영향을 미치는 주요 트렌드와 관련 문제점을 진단해 본다. 일상용품에 사용되는 플라스틱 사용에 대한 변화하는 태도에서부터 위조제품을 방지하는데 있어서까지, 브랜드는 변화하는 패션과 고객 요구에 모두 대응할 수 있어야 한다. 이 글을 통해 다양한 인쇄 및 마킹기술이 이러한 문제를 극복하는 중요한 요소가 될 것이며 소비자제품 생산업체가 시장 변화에 민첩하게 대응하면서 어떻게 이를 달성할 수 있는지를 중심으로 살펴보도록 한다.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.4
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• pp.1-12
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• 2018

Currently, a large amount of printed matter associated with code authentication method are diffused widely, however, they have been reproduced with great precision and distributed successively in illegal ways. In this paper, we propose an efficient code authentication method which classifies authentic or counterfeit with smart-phone, effectively. The proposed method stores original image code in the server side and then extracts multiple comparison measures describing the original image. Based on these multiple measures, a code authentication algorithm is designed in such a way that counterfeit printed images may be effectively classified and then the recognition rate may be highly improved. Through real experiments, it is shown that the proposed method can improve the recognition rate greatly and lower the mis-recognition rate, compared with single measure method.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.6
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• pp.825-830
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• 2010

Generally, the copy protection mark and 2D bar-code techniques are widely used for forgery protection in printed public documents. But, it is hard to discriminate truth from the copy documents by using exisiting methods, because of that existing 2D-barcode is separated from the copy protection mark and it can be only recognized by specified optical barcord scanner. Therefor, in this paper, we proposed the forgery protection tehchnique for discriminating truth from the copy document by using watermark inserted 2D-barcord, which can be accurately distinguished not only by naked eye, but also by scanner. The copy protection mark consists of deformed patterns that are caused by the lowpass filter characteristic of digital I/O device. From these, we verified the performance of the proposed techniques by applying the histogram analysis based on the original, copy, and scanned copy image of the printed documents. Also, we suggested 2D-barcord confirmation system which can be accessed through the online server by using certification key data which is detected by web-camera, cell phone camera.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.1
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• pp.55-64
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• 2013

Due to the popularization of digital high-performance capturing equipments and the emergence of powerful image-editing softwares, it is easy for anyone to make a high-quality counterfeit money. However, the probability of detecting a counterfeit money to the general public is extremely low. In this paper, we propose a counterfeit money detection algorithm using a general purpose scanner. This algorithm determines counterfeit money based on the different features in the printing process. After the non-local mean value is used to analyze the noises from each money, we extract statistical features from these noises by calculating a gray level co-occurrence matrix. Then, these features are applied to train and test the support vector machine classifier for identifying either original or counterfeit money. In the experiment, we use total 324 images of original money and counterfeit money. Also, we compare with noise features from previous researches using wiener filter and discrete wavelet transform. The accuracy of the algorithm for identifying counterfeit money was over 94%. Also, the accuracy for identifying the printing source was over 93%. The presented algorithm performs better than previous researches.