• Title/Summary/Keyword: 2D 바코드

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Improvment of a 2D Barcode Region Detection Algorithm using Multiple Features (다중특징을 이용한 2차원 바코드 영역 검출 알고리즘 개선)

  • Pak, Myeong-Suk;Kim, Sang-Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.10a
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    • pp.687-688
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    • 2016
  • 복잡한 환경에서 바코드의 인식을 위해서는 바코드 영역 검출이 중요한 단계이다. 본 논문에서는 2차원 바코드 영역 검출 알고리즘을 제안한다. 분산-빈도수와 코너 특징을 이용하여 바코드 후보 영역을 선정한다. 빈도수 계산 시 탐색윈도우의 연결성분을 판단하여 윈도우 크기를 확장하는 방법을 추가하여 이전 연구의 한계점을 개선한다. 이전에 실험한 영상에서 모두 바코드 영역을 검출하였고 이전 연구에서 검출하지 못한 셀의 크기가 큰 바코드 영역을 검출한 것을 확인하였다.

The High-Speed Extraction of Interest Region in the Parcel Image of Large Size (대용량 소포영상에서 관심영역 고속추출 방법에 관한 연구)

  • Park, Moon-Sung;Bak, Sang-Eun;Kim, In-Soo;Kim, Hye-Kyu;Jung, Hoe-Kyung
    • The KIPS Transactions:PartD
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    • v.11D no.3
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    • pp.691-702
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    • 2004
  • In this paper, we propose a sequence of method which extrats ROIs(Region of Interests) rapidly from the parcel image of large size. In the proposed method, original image is spilt into the small masks, and the meaningful masks, the ROIs, are extracted by two criterions sequentially The first criterion is difference of pixel value between Inner points, and the second is deviation of it. After processing, some informational ROIs-the areas of bar code, characters, label and the outline of object-are acquired. Using diagonal axis of each ROI and the feature of various 2D bar code, the area of 2D bar code can be extracted from the ROIs. From an experiment using above methods, various ROIs are extracted less than 200msec from large-size parcel image, and 2D bar code region is selected by the accuracy of 100%.

A Study On Usage Of the dimension barcode and the RFID based on Ubiquitous (유비쿼터스 환경에서 2차원 바코드 및 RFID 응용에 관한 연구)

  • 김병찬;정성훈;임재홍
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2004.04a
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    • pp.49-54
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    • 2004
  • Ubiquitous computing support to use various informations through any machine which can connect the computer in any where and any time. Recently barcode and RFID which is improved business model to store large scale information and certify security in on- and off-line internet technology is applied the credit curd and payment service and so on However this technology has serious problem that RFID In this paper, we investigate method used example of 2D barcode and RFID and compare and analysis characteristics of recent technology to solve former problem in Ubiquitous environment.

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Algorithm of Decoding the Base 256 mode in Two-Dimensional Data Matrix Barcode (이차원 Data Matrix 바코드에서 Base 256 모드의 디코딩 알고리즘)

  • Han, Hee June;Lee, Hyo Chang;Lee, Jong Yun
    • Journal of the Korea Convergence Society
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    • v.4 no.3
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    • pp.27-33
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    • 2013
  • Conventional bar code has the appearance of line bars and spaces, called as one-dimensional bar code. In contrast, the information in two-dimensional bar code is represented by either a small, rectangular or square with the types of mosaic and Braille. The two-dimensional bar code is much more efficient than one-dimensional bar code because it can allow to store and express large amounts of data in a small space and so far there is also a little information about decoding the Data Matrix in base 256 mode. According to the ISO international standards, there are four kinds of bar code: QR code, Data Matrix, PDF417, and Maxi code. In this paper, among them, we focus on describing the basic concepts of Data Matrix in base 256 mode, how to encode and decode them, and how to organize them in detail. In addition, Data Matrix can be organized efficiently depending on the modes of numeric, alphanumeric characters, and binary system and expecially, we focus on describing how to decode the Data Matrix code by four modes.

Simplification of Face Image using Cubic Spline Interpolation (Cubic Spline Interpolation을 이용한 얼굴 영상의 단순화)

  • Kim, Jung-Min;Jung, Eun-Kook;Kim, Sun-Shin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.5
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    • pp.722-727
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    • 2010
  • This paper is presented to study simplification of face image using cubic spline interpolation for a business card with 2D barcode. People often forget business card's owner because business cards don't be included a face picture generally. To solve such problem, many applications have be developed through mobile devices, Internet and so on. But they couldn't caught up with value of existing business card mad by paper. Hence, some methods which can put information on business card using 1D or 2D barcode had suggested. but they couldn't include information like face image or company logo image which have too much data. Therefore, we study the simplification method of face image to encode from a face image to 2D barcode. The simplification method using spline curves defined by feature points which we dotted on face, ears, hair, eyebrows, nose, lips, neck, etc.. on a face area. for experiment, we see real face image and simplified face image made by proposed method after we automatically extract face watch through camera. In experimental results, data of simplified face image was reduced as small as it can be expressed by 2D barcode, and confirmed that it can effectively express features.

A Study on High-Speed Extraction of Bar Code Region for Parcel Automatic Identification (소포 자동식별을 위한 바코드 관심영역 고속 추출에 관한 연구)

  • Park, Moon-Sung;Kim, Jin-Suk;Kim, Hye-Kyu;Jung, Hoe-Kyung
    • 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.

Design and Development on 2D Barcode Based Network Advertising Contents (2차원 바코드 기반 네트워크 광고 콘텐츠의 설계와 구현)

  • Shin, Hwan-Seob;Lee, Jae-Won
    • The Journal of the Korea Contents Association
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    • v.19 no.7
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    • pp.376-383
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    • 2019
  • In recent decades, China's economy has grown rapidly and two-dimensional bar code-based payments services have been activated. This is a model that will be introduced by developing countries that lack mobile payment infrastructure, and countries that are looking to leap into cashless societies are also drawing attention. Along with this, the existing CRM market is expanding around the mobile device called m-CRM, and research is active on the importance of collective use for online advertising and two-dimensional bar code-based payments services. Therefore, through this study, we have explored the concepts and status of online advertising and customer relationship management which using the two-dimensional bar code-based system, and designed and implemented the method and mobile application system to effectively disseminate transactional advertising information at the point of sale or at the point of share. We also presented an application approach to look at the direction of two-dimensional bar code-based ads contents sharing system and its development.

An Automatic Identification System of Biological Resources based on 2D Barcode and UCC/EAN-128 (2차원 바코드와 UCC/EAN-128을 이용한 생물자원 자동인식시스템)

  • Chu, Min-Seok;Ryu, Keun-Ho;Kim, Jun-Woo;Kim, Hung-Tae;Han, Bok-Ghee
    • The KIPS Transactions:PartD
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    • v.15D no.6
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    • pp.861-872
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    • 2008
  • As rapid development of computing environment, field of automatic identification research which interoperates with various physical objects and digital information is making active progress. Although the automatic identification system is widely used in various industries, application of automatic identification system in the field of medical health doesn't reach other industry. Therefore research in medical health supplies such as medical equipment, blood, human tissues and etc is on progress. This paper suggests the application of automatic identification technology for biological resources which is core research material in human genome research. First of all, user environment requirements for the introduction of automatic identification technology are defined and through the experiments and research, barcode is selected as a suitable tag interface. Data Matrix which is 2D barcode symbology is chosen and data schema is designed based on UCC/EAN-128 for international defecto standard. To showapplicability of proposed method when applied to actual environment, we developed, tested and evaluated application as following methods. Experiments of barcode read time at 196 and 75 below zero which is actual temperature where biological resources are preserved resulted read speed of average of 1.6 second and the data schema satisfies requirements for the biological resources application. Therefore suggested method can provide data reliability as well as rapid input of data in biological resources information processing.

Vision-based Real-Time Two-dimensional Bar Code Detection System at Long Range (비전 기반 실시간 원거리 2차원 바코드 검출 시스템)

  • Yun, In Yong;Kim, Joong Kyu
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.9
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    • pp.89-95
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    • 2015
  • In this paper, we propose a real-time two-dimensional bar code detection system even at long range using a vision technique. We first perform short-range detection, and then long-range detection if the short-range detection is not successful. First, edge map generation, image binarization, and connect component labeling (CCL) are performed in order to select a region of interest (ROI). After interpolating the selected ROI using bilinear interpolation, a location symbol pattern is detected as the same as for short-range detection. Finally, the symbol pattern is arranged by applying inverse perspective transformation to localize bar codes. Experimental results demonstrate that the proposed system successfully detects bar codes at two or three times longer distance than existing ones even at indoor environment.

Technical Trend and Analysis of Postal Customer Bar Code in Postal Service Environment (우편서비스 환경하에서 우편용 고객 바코드 기술 동향 및 분석)

  • Park, M.S.;Woo, D.C.
    • Electronics and Telecommunications Trends
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    • v.14 no.2 s.56
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    • pp.38-52
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    • 1999
  • 우정업무는 발송인으로부터 우편물을 접수하여 수취인에게 배달하기 위해 소요되는 인력 의존도가 80%인 노동 집약적인 업무이다. 이에 따라, 우편고객에게 고품질의 우편서비스를 제공하기 위한 목적으로 우편물 자동구분 처리시스템을 개발하여 적용하고 있다. 본 고에서는 우편서비스의 질을 향상시키기 위한 노력의 일환으로 고객 바코드의 활용사례를 분석하고, 우편고객에게 부가서비스를 제공하기 위한 방법을 제시한 내용이다.