• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.10
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• pp.2242-2250
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• 2009

Recently, with the advance of Ubiquitous era, the types of services become diverse. Especially, due to the rapid development of mobile technology, the new functions of mobile phones are added and the new applications of mobile phones are developed actively. Among the various applications related to mobile phones, 2 dimensional barcode-based applications are increasing. 2 dimensional barcode is mostly used for the management of past record. However, by combing 2 dimensional barcode with mobile phones, the application areas of 2 dimensional barcode are expanded to the means of publicity for education, tourism, and festivals. In this paper, we develop a QR code decoder running on smartphones, which connects on-line and off-line. In addition, we modify our decoder by detecting the point for performance enhancement based on TRIZ. We compare our decoder with an open-source based decoder in terms of the code size of decoding and the speed of decoding in order to prove that our decoder has a better performance than the other. Finally, we introduce two applications: u-map and u-pamphlet as QR code applications.

• Proceedings of the IEEK Conference
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• 2002.06d
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• pp.89-92
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• 2002

In this paper we present a barcode reader to decode two-dimensional symbology PDF-417 and propose a novel method to extract the bar-space patterns directly from the gray-level barcode image, which employs the location and the distance between extreme points of each row of the barcode image. This algorithm proves to be very robust from the high convolution distortion environments such as defocussing and warping, even under badly illuminating condition. If the scanned barcode image is a result of the convolution of a Gaussian-shaped point spread function with a bi-level image, popular image segmentation methods such as image thresholding can not distinguish between very narrow bar-space patterns with a couple of pixels wide. The proposed algorithm shows improved performance over current barcode readers.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.1
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• pp.77-82
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• 2004

In this paper we present a barcode reader to decode two-dimensional symbology PDF417 and propose a novel method to extract the bar-space Patterns directly from the gray-level barcode image, which employs the location and the distance between extreme points of each row or column of the barcode image. This algerian proves to be very robust from the high convolutional distortion environments such as defocussing and warping, even under badly illuminating condition. If the scanned barcode image is a result of the convolution of a Gaussian-shaped point spread function with a hi-level image, popular image segmentation methods such as image thresholding can not distinguish between very narrow bar-space patterns. The Proposed algorithm shows improved Performance over current barcode readers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.1
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• pp.58-64
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• 2016

In this paper presents Robust k-means clustering-based high-speed bar code decoding method to blur and lighting. for fast operation speed and robust decoding to blur, proposed method uses adaptive local threshold binarization methods that calculate threshold value by dividing blur region and a non-blurred region. Also, in order to prevent decoding fail from the noise, decoder based on k-means clustering algorithm is implemented using area data summed pixel width line of the same number of element. Results of simulation using samples taken at various worst case environment, the average success rate of proposed method is 98.47%. it showed the highest decoding success rate among the three comparison programs.

• Proceedings of the IEEK Conference
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• 2001.09a
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• pp.289-292
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• 2001

종래에 사용되어 왔던 1차원 바코드가 정보를 포함하고 있는 데이터베이스에 접근하는 데이터 키 역할을 주로 해온 것에 비해, 2차원 바코드는 다량의 데이터를 포함할 수 있고 고밀도의 데이터 표현이 가능하여, 호스트 컴퓨터의 데이터 베이스에 온라인 연결할 필요없이 확인하고자 하는 사람이나 대상물에 대한 정보를 얻을 수 있다. 본 논문에서는 가장 널리 사용되는 2차원 바코드 체계인 PDF417 을 중심으로 디지털 카메라를 통하여 입력한 영상을 이진화하여 시작 심볼 또는 정지 심볼을 검색함으로써 2차원 바코드 영역을 추출한 다음, 추출된 영역으로부터 바코드의 행과 열의 수, 오류수정 정도 등의 헤더정보를 검출하고 이를 바탕으로 코드워드를 추출하는 알고리즘을 제안한다. 얻어진 코드워드는 데이터를 효율적으로 저장하기위해 정보가 숫자인지, ASCII코드인지 혹은 바이트 정보인지에 따라 다른 방식으로 인코딩 되어 있는데, 그에 따른 디코딩 알고리즘을 제안한다.

• Proceedings of the KIEE Conference
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• 1995.07b
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• pp.919-921
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• 1995

In this paper, development of Thermal Printer Head(TPH) controller by using gate array having high reliability and good performance is proposed. Over the 3000 gates are performed to control print image data signals and relative peripheral hardwares. The proposed gate array has TPH control circuit, print control and step motor drive, and print image data control, decoder output control parts. This TPH controller will be a good application to FAX or label printer and barcode printers.