• Title/Summary/Keyword: barcode detection

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An Effective Detection of Print Image Forgeries Based on Modeling of Color Matrix : An Application to QR Code (컬러 매트릭스 모델링에 의한 영상 인쇄물 위변조 검출 기법 : QR코드에의 적용)

  • Choi, Do-young;Kim, Jin-soo
    • The Journal of the Korea Contents Association
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    • v.18 no.10
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    • pp.431-442
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    • 2018
  • 2-dimensional barcode, QR code has been used for containing various information such as image, video, map, and business cards. Currently, a smartphone is used as a QR code scanner, displaying the code and converting it to a standard URL for a website. However, QR codes are not very common in encrypted application and so have a few applications. This paper proposes a new color-code, which integrates the conventional QR code and color design, and can be effectively used in some product certification system. The proposed method exploits the fact that genuine code is produced by CMYK color model, but the counterfeit is captured by RGB color model and during this process, color information of the code is changed. This paper introduces the color matrix model to measure the distortion between genuine code and counterfeit code. By investigating the statistical characteristics of color matrix, an effective detection of print image forgeries are designed. Various experiments with color codes show that the proposed system can be effectively used in product certification systems.

Improvement of SNPs detection efficient by reuse of sequences in Genotyping By Sequencing technology (유전체 서열 재사용을 이용한 Genotyping By Sequencing 기술의 단일 염기 다형성 탐지 효율 개선)

  • Baek, Jeong-Ho;Kim, Do-Wan;Kim, Junah;Lee, Tae-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.10
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    • pp.2491-2499
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    • 2015
  • Recently, the most popular technique to determine the Genotype, genetic features of individual organisms, is the GBS based on SNP from sequences determined by NGS. As analyzing the sequences by the GBS, TASSEL is the most used program to identify the genotypes. But, TASSEL has limitation that it uses only the partial sequences that is obtained by NGS. We tried to improve the efficiency in use of the sequences in order to solve the limitation. So, we constructed new data sets by quality checking, filtering the unused sequences with error rate below 0.1% and clipping the sequences considering the location of barcode and enzyme. As a result, approximately over 17% of the SNP detection efficiency was increased. In this paper, we suggest the method and the applied programs in order to detect more SNPs by using the disused sequences.