• Journal of Species Research
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• v.9 no.4
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• pp.413-426
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• 2020

The Euphorbiaceae family features some of the most economically important plants that are sources of foods, oils, waxes, and medicines. The accurate identification of Euphorbiaceae species is critical in sustainable utilization of plant resources. We examined 234 sequences of nrDNA ITS, cpDNA rbcL and matK loci from 20 species in Euphorbiaceae in Korea and three outgroup taxa to develop efficient DNA barcodes. The three barcode loci were successfully amplified and sequenced for all Euphorbiaceae species. nrDNA ITS locus showed the highest mean interspecific K2P distance (0.3034), followed by cpDNA matK (0.0830), and rbcL (0.0352) locus. The degree of species resolution for individual barcode loci ranged from 75% (rbcL and matK) to 80% (ITS). The degree of species resolution was not enhanced with the different combinations of three barcode loci. The combined data set of the three loci(ITS+rbcL+matK) provided 80% of species resolution. These results confirm that ITS locus, as a single barcode, is the best option for barcoding of the Euphorbiaceae in Korea.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.763-764
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• 2017

The use of barcodes in mobile phones has become generalized, and barcodes are widely used in security-sensitive applications, including mobile payment and personal identification. Generally, images photographed by a mobile phone generate geometric distortion due to the shooting angle, resulting in low quality images. Embedding watermark for low quality images makes it difficult to satisfy transparency. To solve such problem, this paper focuses on the technique of embedding barcode images in the image taken by mobile phone and proposes barcode watermarking for protecting mobile-based ownership. The barcode watermark embedded in the image can be used to prove ownership since it is readable by a machine such as illegal copy.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.41 no.9
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• pp.1-7
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• 2004

This thesis shows embodiment of lock system design for combination of usefulness, convenient of Barcode and cellular phone. This thesis consists of Lock system design using cellular phone and product introduction, including details from formation of barcode scanner to scanner design. When this research is applied to security system a general idea of physical key disappears and it is Possible that cellular phone becomes the center of security and we can expect that cellular phone use for payment will increase due to mutual direction service. After, we should study its application to various practical field and develop high sensitive equipment.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.6_3
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• pp.1285-1291
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• 2022

In this paper, we propose a low-cost, low-power embedded environment-based deep learning lightweight model for input images to recognize laundry management codes. Laundry franchise companies mainly use barcode recognition-based systems to record laundry consignee information and laundry information for laundry collection management. Conventional laundry collection management systems using barcodes require barcode printing costs, and due to barcode damage and contamination, it is necessary to improve the cost of reprinting the barcode book in its entirety of 1 billion won annually. It is also difficult to do. Recognition performance is improved by applying the VGG model with 7 layers, which is a reduced-transformation of the VGGNet model for number recognition. As a result of the numerical recognition experiment of service parts drawings, the proposed method obtained a significantly improved result over the conventional method with an F1-Score of 0.95.

• The KIPS Transactions:PartB
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• v.15B no.4
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• pp.259-268
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• 2008

In an effort to increase the data capacity of one-dimensional symbology, 2D barcodes have been proposed a decade ago. In this paper, we present an effective 2D barcode detection algorithm from gray-level images, especially for the handheld 2D barcode recognition system. To locate the symbol inside the image, a criteria based on the block contrast is adopted, and a gray-scale projection with sub-pixel operation is utilized to segment the symbol precisely from the region of interest(ROI). Finally, the segmented ROI is normalized using the inverse perspective transformation for the following decoding processes. We also introduce the post-processing steps for decoding the QR-code. The proposed method ensures high performances under various lighting/printing conditions and strong perspective deformations. Experiments shows that our method is very robust and efficient in detecting the code area for the various types of 2D barcodes in real time.

• The Korea Journal of Herbology
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• v.29 no.6
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• pp.35-43
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• 2014

Objectives : Official Arisaematis Rhizoma is described only three species, Arisaema amurnse, Arisaema erubescens, and Arisaema heterophyllum, in national Pharmacopoeia. However, other Arisaema species, Arisaema ringens, Arisaema takesimense and Arisaema serratum, also have been distributed as an inauthentic Arisaematis Rhizoma in the herbal market. To develop a reliable molecular authentication method for Arisaematis Rhizoma in species level, we analyzed DNA barcode regions using six Arisaema species. Methods : Thirty-eight samples of six Arisaema plants species (A. amurense, A. amurense f. serratum, A. heterophyllum, A. takesimense, and A. serratum) were collected from different habitate and nucleotide sequences of DNA barcode regions (rDNA-ITS, matK, and rbcL gene) were analyzed after PCR amplification. The species-specific sequences and phylogenetic relations were estimated using entire sequences of three DNA barcodes based on the analysis of ClastalW and UPGMA, respectively. Results : The comparative analysis of DNA barcode sequences were revealed inter-species specific nucleotides to distinguish the medicinal plant of Arisaema Rhizoma in species levels excluding between A. amurense and its subspecies (A. amurense f. serratum) and A. takesimense and A. serratum, respectively. However, we obtained sequence differences enough to discriminate authentic and inauthentic Arisaematis Rhizoma. Therefore, we suggest that these SNP type molecular genetic markers were an reliable method avaliable to identify official herbal medicines. Conclusions : These marker nucleotides could be useful to identify the official herbal medicines by providing definitive information that can identify original medicinal plant and distinguish from inauthentic adulterants and substitutes.

• Molecules and Cells
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• v.22 no.3
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• pp.323-327
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• 2006

DNA barcoding, an inventory of DNA sequences from a standardized genomic region, provides a bio-barcode for identifying and discovering species. Several recent studies suggest that the sequence diversity in a 648 bp region of the mitochondrial gene for cytochrome c oxidase I (COI) might serve as a DNA barcode for identifying animal species such as North American birds, insects and fishes. The present study tested the effectiveness of a COI barcode in discriminating Korean bird species. We determined the 5' terminus of the COI barcode for 92 species of Korean birds and found that species identification was unambiguous; the genetic differences between closely related species were, on average, 25 times higher than the differences within species. We identified only one misidentified species out of 239 specimens in a genetic resource bank, so confirming the accuracy of species identification in the banking system. We also identified two potential composite species, calling for further investigation using more samples. The finding of large COI sequence differences between species confirms the effectiveness of COI barcodes for identifying Korean bird species. To bring greater reliability to the identification of species, increased intra- and interspecies sampling, as well as supplementation of the mitochondrial barcodes with nuclear ones, is needed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.9
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• pp.2121-2128
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• 2015

In this paper presents a method of extracting reliable and regions of interest (ROI) in barcode for the purpose of factory automation. backgrounds are separated based on directional components and the characteristics of detected patterns. post-processing is performed on candidate images with analysis of problems caused by blur, rotation and areas of high similarity. In addition, the resizing factor is used to achieve faster calculations through image resizing. The input images contained multiple product or barcode for application to diverse automation environments; a high extraction success rate is accomplished despite the maximum shooting distance of 80 cm. Simulations involving images with various shooting distances gave an ROI detection rate of 100% and a post-processing success rate of 99.3%.

• ETRI Journal
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• v.29 no.2
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• pp.189-200
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• 2007

This paper addresses the localization and navigation problem in the movement of service robots by using invisible two dimensional barcodes on the floor. Compared with other methods using natural or artificial landmarks, the proposed localization method has great advantages in cost and appearance since the location of the robot is perfectly known using the barcode information after mapping is finished. We also propose a navigation algorithm which uses a topological structure. For the topological information, we define nodes and edges which are suitable for indoor navigation, especially for large area having multiple rooms, many walls, and many static obstacles. The proposed algorithm also has the advantage that errors which occur in each node are mutually independent and can be compensated exactly after some navigation using barcodes. Simulation and experimental results were performed to verify the algorithm in the barcode environment, showing excellent performance results. After mapping, it is also possible to solve the kidnapped robot problem and to generate paths using topological information.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.55 no.7
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• pp.327-331
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• 2006

We have proposed an image restoration method for a bi-level waveforms whose number of edges is known to us. Based on the information, we parametrize a bi-level waveform using the locations of edges and restore the waveform by estimating the parameter. We estimated the locations by maximizing the correlation coefficients between the hi-level waveform and the measured waveform. In experiments using two dimensional barcode images of the PDF417 specification, the proposed method showed better performance than conventional methods in the sense that the proposed method was able to decode barcode images that were not decoded by the conventional methods.