• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.584-587
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• 2010

이차원 바코드는 인식이 편리하고 영상의 변이나 손실에 강인하기 때문에 널리 사용되고 있다. 본 논문에서는 모바일 장치에서 카메라로 촬영한 영상으로부터 이차원 바코드의 한 종류인 데이터매트릭스를 검출하고 인식하는 방법을 소개한다. 모바일 안드로이드 환경에서 빠른 속도로 검출 및 인식 과정을 수행하기 위해 JNI를 이용하여 C로 기능을 구현하였다. 먼저, 이차원 영상을 이진화한 후 연결 성분 탐색을 통해 바코드 후보영역을 추출한다. 그리고 직선을 검출하여 데이터매트릭스의 주요소인 L 인식 패턴과 타이밍 패턴을 찾는다. 각 패턴을 이용하여 바코드 영역의 꼭지점을 찾아낸 후, 회전이나 기울어짐을 정규화하여 정사각형 형태로 교정한다. 그 후, 타이밍 패턴을 기준으로 데이터 영역을 인식한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.443-444
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• 2020

본 논문에서는 여러 개의 측방 유동 스트립을 형광분석을 통한 정량분석을 할 수 있는 장비의 각 스트립에 인쇄된 바코드를 카메라를 이용하여 인식하는 방법을 제안한다. 제안한 알고리즘에서는 각 슬롯의 스트립 유무를 판단하고, 시작 비트의 위치를 템플릿 정합법으로 검출하여 바코드 영역을 찾는다. 각 비트 영역은 바코드 설계 데이터와 기기 교정 시 계산된 공간 해상도를 이용하여 결정된다. 각 비트의 값은 비트 영역 중앙 부분의 평균을 이용하여 결정하였다. 다양한 조명 아래에서 취득한 영상들로부터 스트립 유무 판단, 시작 비트 위치 탐색 성공 여부 및 각 비트 값을 결정 등을 위한 판정 값을 가우시안 모델을 이용하여 계산하였다. 실험 결과 모든 판정 오류는 무시할 만 하였다.

• Journal of the Korea Society of Computer and Information
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• v.10 no.5 s.37
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• pp.103-108
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• 2005

In this Paper, we proposed a novel robust watermarking technique using PIM and 2D barcode for the copyright of the digital images. Because human is impervious to the change in the complex area, the embedding watermark to the selected coefficients using PIM enhances invisibility. A 2D barcode image is used for watermark in this research. The 2D barcode contains more information than conventional ID barcode and includes the error correction algorithm. Therefore the watermarking algorithm using 2D barcode enhances the robustness of watermark. From the experimental results , the proposed algorithm shows better invisibility and robustness performance in a general signal Processing such as JPEG and SPIHT lossy compression.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.77-78
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• 2015

Image Binarization is essential process in the digital image processing for the read out of a one-dimensional barcode. Local threshold method is suitable for binarization of a bar code. However, It has problem that processing time is slower than other binarization algorithm. Also, It's results not appropriate If the image has a noise. In this paper, we propose the modification method for solve these problems. Proposed algorithm help to improve the speed of local thresholding method using average image. Also, we proposed a high frequency filter to one-dimensional barcode for improvement quality of binary image.

• Korean Journal of Plant Resources
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• v.35 no.2
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• pp.346-361
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• 2022

Food poisoning accidents caused by poisonous plants occur every year. As certain poisonous plants are mistaken for edible plants causing food poisoning, accurate species identification of poisonous plants is required. DNA barcodes suitable for species identification of poisonous plants and database that can be used for accurate species identification are necessary for their use in forensic cases. In this study, species identification of 19 poisonous plants native to Jeju Island using seven DNA barcodes (trnH-psbA, trnL-trnF, trnL intron, rbcL, matK, ITS1-ITS4, 18S rRNA) was performed to construct a database containing sequence information and DNA barcode universality. trnL-trnF barcode and ITS1-ITS4 barcode were the easiest markers for PCR amplification and sequence retrieval, and the combination of the two barcodes enabled single species identification in 18 out of 19 plants. Therefore, when an investigation of unknown poisonous plants is requested, combination of trnL-trnF and ITS1-ITS4 barcodes is considered as a primary marker for species identification. The database of recommended DNA barcodes for each poisonous plant presented in this study will be helpful in plants poisoning cases.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.9
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• pp.1723-1729
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• 2016

Digital watermarking is tried to get an optimum tradeoffs between its performance characteristics, robustness, transparency and capacity. This paper is, therefore, suggesting a watermarking technique that builds multiple barcodes in various frequency bands to implement embedded watermarks that is imperceptible and robust against various attacks. Even though a watermark technique with duplicated barcode watermarks embedded in various frequency bands can satisfy robustness as there is high possibility that watermarks embedded in an image remains after various attacks, the duplicated barcode data can weaken imperceptibility. Thus, to satisfy the conflicting characteristic requirements of watermarks, robustness and imperceptibility, different barcode data is embedded in each frequency band. The test shows that ownership authentication with the technique suggested in this thesis does not require specialized hardware, and extracted watermarks can be easily identified through a mobile barcode scanner app, which allows low complexity, low cost and swift identification.

• The Transactions of the Korea Information Processing Society
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• v.7 no.1
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• pp.146-155
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• 2000

This paper describes a 4-state bar code called HANGUL 4 ST that has been specifically designed for automatic processing of the letter mails, A HANGUL 4 ST bar code is a necessary data base that is applied data capture and data carrier with it all the information necessary for sorting, the amount capture for transportation of mail items, and valued-added services such as indicia, tracking and trace. The 4-state bar code information contents are composed of a postal code, delivery point, customer information including customer identification number and name, and parity bits for error detect and correct. The data density capability of HANGUL 4 St allows all useful sorting data and customer data to be encoded on one label. This supports better automatic processing in mail items, higher level of customer service and more efficient operation.

• The Transactions of the Korea Information Processing Society
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• v.6 no.10
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• pp.2563-2573
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• 1999

In most mail automatic processing centers, after facing and canceling, letter mails are passed through an Optical Character Recognition/Barcode Sorter(OCR/BS) to read the postal code and 3 of 5 fluorescent (luminescent) barcode is applied. Normally, 31%∼35% of this mails are rejected. The main reasons for reading failures are poor printing quality of addresses and barcodes, script printing, writing in a cursive hand, variety fonts, and failure to locate the address. Our goal is to provide mailer with top quality service and customer barcode service as we move toward 100% barcoding automation of letter mail. In this paper, we propose a method of printing 3 of 5 customer barcode, postal code management, and detection of postal code based on postal address for increase the performance of automatic processing system in mail items. Using postal code generating rules, which are automatically extracted from postal addresses and address numbers, creates postal codes. The customer barcode support system is implemented by C++ language and runs on IBM PC under Windows 95.

• The KIPS Transactions:PartD
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• v.9D no.5
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• pp.915-924
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• 2002

Conventional Systems for parcel sorting consist of two sequences as loading the parcel into conveyor belt system and post-code input. Using bar code information, the parcels to be recorded and managed are recognized. This paper describes a 32 $\times$ 32 sized mini-block inspection to extract bar code Region of Interest (ROI) from the line Charged Coupled Device (CCD) camera capturing image of moving parcel at 2m/sec speed. Firstly, the Min-Max distribution of the mini-block has been applied to discard the background of parcel and region of conveying belts from the image. Secondly, the diagonal inspection has been used for the extraction of letters and bar code region. Five horizontal line scanning detects the number of edges and sizes and ROI has been acquired from the detection. The wrong detected area has been deleted by the comparison of group size from labeling processes. To correct excluded bar code region in mini-block processes and for analysis of bar code information, the extracted ROI 8 boundary points and decline distribution have been used with central axis line adjustment. The ROI extraction and central axis creation have become enable within 60～80msec, and the accuracy has been accomplished over 99.44 percentage.

• Weed & Turfgrass Science
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• v.4 no.1
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• pp.26-34
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• 2015

Korean Poaceae includes approximately 80 species of the agricultural weeds. Precise species identification is the first step for more effective weed management in the agricultural fields. However, the identification of species in Poaceae is not easy without the assistance of taxonomists or identification experts although they are relatively easy to distinguish from the plants of the other family by the unique characteristics of caryopsis. Thus, DNA barcode was suggested as an alternative powerful technique for species identification by using short sections of DNA from a specific region of the genome. Two standard barcode markers of vascular plants, chloroplast rbcL and matK, and a supplementary nuclear ribosomal Internal Transcribed Spacer (ITS) region were used for barcode of major Korean Poaceae weeds, 403 individuals of 84 taxa. All the barcode markers revealed a good level of sequencing success with the lowest 73.7% for matK and the highest 88.8% for rbcL. The barcode sequences were deposited to the National Center for Biotechnology Information (NCBI) database for public use. Combined matK and ITS showed very high resolving power with 92.9%. Besides the identification of weeds for weed managment, the generated DNA barcode data could be used for many other applications such as rapid biodiversity assessment and conservation prioritization.