• Title/Summary/Keyword: 홍채 검출

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A Biometric Recognition Method using Thumb feature (엄지손가락 특징을 이용한 바이오 인식 방법 연구)

  • Jo, Ji Hye;Lee, Dong Wook;Lee, Eui Chul
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.1464-1466
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    • 2015
  • 개인 인증을 위한 바이오인식 방법으로 홍채, 지문, 정맥 인식 등이 널리 사용되고 있다. 하지만 별도의 센서가 필요한 방법들이므로 스마트폰에서 활용하기에 적절하지 않다. 본 논문에서는 엄지손가락 특징을 이용한 새로운 바이오 인식방법을 제안한다. 엄지손가락을 이용한 바이오 인식 방법은 손가락을 촬영하여 영상정보를 획득하는 단계, 영상의 크기와 방향, 밝기를 정규화 하는 단계, 영상 정보로부터 손가락 경계, 손톱 모양, 마디 주름 등의 특징을 검출하는 단계를 포함한다. 제안하는 방법은 카메라가 장착된 스마트기기에서 별도의 센서 추가 없이 개인 인증을 위한 방법으로 활용될 수 있을 것으로 기대된다.

Microbial Quality of Fresh Vegetables and Fruits in Seoul, Korea (국내 신선 채소류의 미생물 오염 특성)

  • Hong, Chae-Kyu;Seo, Young-Ho;Choi, Chae-Man;Hwang, In-Suk;Kim, Moo-Sang
    • Journal of Food Hygiene and Safety
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    • v.27 no.1
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    • pp.24-29
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    • 2012
  • A total of 187 samples of leafy vegetables and fruits were acquired at traditional markets and department stores in Seoul, Korea. Samples were tested for microorganism distributions and for the presence of pathogenic bacteria. The aerobic mesophilic counts ranged between 2.5 and 9.4 log CFU/g, with the highest count recorded from the dropwort. Counts of psychrotrophic microorganisms were as high as those of the mesophilic microorganisms. Total coliform populations between 1.0 and 7.8 log CFU/g were found in 90.9% of the samples. Microbiological counts for fruits were very low. $Escherichia$ $coli$ was isolated in 24 (12.8%) samples. $Staphylococcus$ $aureus$ and $Clostridium$ $perfringens$ contamination were found in 15 (8.0%) and 20 (10.7%) samples. $Salmonella$ species and $Listeria$ $monocytogenes$ were detected in 2.7 and 0.5% of samples, respectively. Among the total 187 samples, 8 samples were contaminated by more than two pathogens. $E.$ $coli$ O157:H7 was not detected in any of the samples. The microbial contamination levels determined in the present study may be used as the primary data to execute microbial risk assessment of fresh vegetables and fruits.

A Detection Method of Fake Fingerprint in Optical Fingerprint Sensor (광학식 지문센서에서의 위조 지문 검출 방법)

  • Lee, Ji-Sun;Kim, Jae-Hwan;Chae, Jin-Seok;Lee, Byoung-Soo
    • Journal of Korea Multimedia Society
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    • v.11 no.4
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    • pp.492-503
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    • 2008
  • With the recent development and increasing importance of personal identification systems, biometric technologies with less risk of loss or unauthorized use are being popularized rapidly. In particular, because of their high identification rate and convenience, fingerprint identification systems are being used much more commonly than other biometric systems such as iris recognition, face recognition and vein pattern recognition. However, a fingerprint identification system has the problem that artificially forged finger-prints can be used as input data. Thus, in order to solve this problem, the present study proposed a method for detecting forged fingerprints by measuring the degree of attenuation when the light from an optical fingerprint sensor passes through the finger and analyzing changes in the transmission of light over stages at fixed intervals. In order to prove improvement in the performance of the proposed system, we conducted an experiment that compared the system with an existing multi-sensor recognition system that measures also the temperature of fingerprint. According to the results of the experiment, the proposed system improved the forged fingerprint detection rate by around 32.6% and this suggests the possibility of solving the security problem in fingerprint identification systems.

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Dynamic properties of the retinal neurons by using of the intracellular recording method (세포내 기록법으로써 검출한 망막 신경원의 동적 특성)

  • 이성종;정창섭;배선호
    • Progress in Medical Physics
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    • v.9 no.2
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    • pp.95-104
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    • 1998
  • The dynamic properties of the 3rd-order neuron of the retina was investigated by using conventional intracellular recording techniques. Experiments were performed in the superfused retina-eyecup preparation of the channel catfish, Ictalurus punctatus. The cornea, iris, lens, and vitreous were removed by absorption with Kimwipe tissue under the dissection microscope thereby exposing the retina in a hemi -eyecup. The electrical signal was amplified by electrometer, viewed on oscilloscope. Regular signals from the cells were recorded on a penwriter and stored by data recorder and computer. Full-field, spot or annular light stimuli were generated on a computer monitor and focused onto the retina. Baclofen hyperpolarized the dark membrane potential, suppressed sustained component and enhanced transient component of the ON-sustained cell with a large transient component, but did not affect the surround antagonism of the cell. Baclofen selectively suppressed responses evoked by moving bar light stimuli on the ON-OFF transient cell. The results suggest that transient cells have directional selectivity in the inner retina. These dynamic properties of amacrine and ganglion cells were modulated by baclofen. Therefore, it is presumed that there is baclofen-induced directional selectivity in ON-OFF transient cells in the catfish retina.

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A Method for Finger Vein Recognition using a New Matching Algorithm (새로운 정합 알고리즘을 이용한 손가락 정맥 인식 방법)

  • Kim, Hee-Sung;Cho, Jun-Hee
    • Journal of KIISE:Software and Applications
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    • v.37 no.11
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    • pp.859-865
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    • 2010
  • In this paper, a new method for finger vein recognition is proposed. Researchers are recently interested in the finger vein recognition since it is a good way to avoid the forgery in finger prints recognition and the inconveniences in obtaining images of the iris for iris recognition. The vein images are processed to obtain the line shaped vein images through the local histogram equalization and a thinning process. This thinned vein images are processed for matching, using a new matching algorithm, named HS(HeeSung) matching algorithm. This algorithm yields an excellent recognition rate when it is applied to the curve-linear images processed through a thinning or an edge detection. In our experiment with the finger vein images, the recognition rate has reached up to 99.20% using this algorithm applied to 650finger vein images(130person ${\times}$ 5images each). It takes only about 60 milliseconds to match one pair of images.

Contactless Biometric Using Thumb Image (엄지손가락 영상을 이용한 비접촉식 바이오인식)

  • Lim, Naeun;Han, Jae Hyun;Lee, Eui Chul
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.12
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    • pp.671-676
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    • 2016
  • Recently, according to the limelight of Fintech, simple payment using biometric at smartphone is widely used. In this paper, we propose a new contactless biometric method using thumb image without additional sensors unlike previous biometrics such as fingerprint, iris, and vein recognition. In our method, length, width, and skin texture information are used as features. For that, illumination normalization, skin region segmentation, size normalization and alignment procedures are sequentially performed from the captured thumb image. Then, correlation coefficient is calculated for similarity measurement. To analyze recognition accuracy, genuine and imposter matchings are performed. At result, we confirmed the FAR of 1.68% at the FRR of 1.55%. In here, because the distribution of imposter matching is almost normal distribution, our method has the advantage of low FAR. That is, because 0% FAR can be achieved at the FRR of 15%, the proposed method is enough to 1:1 matching for payment verification.

Monitoring of Residual Pesticides in Agricultural Land from the Southern Area of Seoul (서울 강남지역 채소류 경작지의 토양 중 잔류농약 실태조사)

  • Choi, Chae-Man;Yook, Dong-Hyeon;Hong, Chae-Kyu;Kim, Tae-Rang;Hwang, Young-Sook;Hwang, In-Sook;Kim, Jung-Hun;Kim, Mu-Sang;Chae, Young-Zoo
    • The Korean Journal of Pesticide Science
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    • v.15 no.2
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    • pp.160-165
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    • 2011
  • Monitoring of pesticide residues were conducted at three sites in the Southern Area of Seoul, Korea (Gang-nam, Gang-dong and Song-pa). We measured pesticide residues within soil samples using multi-pesticide residues analysis. Samples were collected at the three sites with 60 sampling spots. The amount of pesticide residues in the soil samples were as follows [(minimum-maximum), mg/kg] endosulfan 0.002-0.999, procymidone 0.002-1.200, diazinon 0.003-0.024, metalaxyl 0.012-0.075. In soil treated with 0.445 mg/kg of endosulfan, the pesticide absorbed by chamnamul, was 0.157 mg/kg (Absorption rate : 35.3%). However, in soil treated with 0.358 mg/kg of endosulfan, the pesticide absorbed by lettuce, was 0.004 mg/kg (Absorption rate : 1.1%).

Monitoring of Uniconazole by Using GC-ECD and GC-MSD (GC-ECD와 GC-MSD를 이용한 유니코나졸 잔류실태조사)

  • Kim, Eun-Jeung;Hong, Chae-Kyu;Choi, Su-Jeong;Lee, Yun-Jeong;Hwang, In-Sook;Kim, Moo-Sang;Chae, Young-Zoo
    • Korean Journal of Food Science and Technology
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    • v.45 no.3
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    • pp.382-384
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    • 2013
  • We evaluated the presence of uniconazole residual pesticide in agricultural products by using multiclass pesticide multiresidue methods. Samples were collected from January to August, 2012. The pesticide was detected in 14 samples among the 3,632 samples tested. Amount of the uniconazole pesticide ranged from 0.098 to 2.2 mg/kg in the 14 samples. This method was described for the simultaneous determination of uniconazole by using gas chromatography with an electron capture detector (GC-ECD) and mass spectrometry (MS). For evaluating the GC-ECD method, uniconazole was spiked into gyeojachae at a level of 0.05, 0.5 mg/kg. The recoveries of uniconazole with the GC-ECD method ranged from 98.9-109.4%. The results indicate that our method of simultaneous analysis is applicable to uniconazole analysis.

Monitoring of Uniconazole by GC-NPD (GC-NPD 동시분석법을 이용한 유니코나졸 잔류실태조사)

  • Kim, Eun-Jeung;Choi, Bu-Chuhl;Choi, Su-Jeong;Hong, Chae-Kyu;Kim, Eun-Hee;Choi, Chae-Man;Seo, Young-Ho;Hwang, Young-Sook;Jang, Mi-Ra;Hwang, In-Sook;Kim, Moo-Sang;Chae, Young-Zoo
    • Korean Journal of Food Science and Technology
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    • v.44 no.3
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    • pp.378-381
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    • 2012
  • The monitoring of the uniconazole residual pesticide for agricultural products was conducted by multiclass pesticide multiresidue methods. Samples were collected from June to November, 2011. Uniconazole pesticide was detected in 49 samples from a total of 3,939 samples. The amount of uniconazole pesticide ranged from 0.09 to 17.89 mg/kg in 49 samples. This method was described for the simultaneous determination of uniconazole by gas chromatography with a nitrogen phosphorus detector (GC-NPD) and mass spectrometry (MS). The limit of detection and quantification were 0.006 and 0.018 mg/kg GC-NPD, respectively. For an evaluation of the GC-NPD method, uniconazole spiked into gyeojachae at a level of 0.5, 5 mg/kg was determined. The recoveries of uniconazole by the GC-NPD method ranged from 83.4 to 101.4%. The results indicate that the method of simultaneous analysis is applicable to uniconazole analysis.

Pesticide Residues Survey and Safety Evaluation for Perilla Leaf & Lettuce on the Garak-dong Agricultural & Marine Products Market (가락동 농수산물도매시장 반입 들깻잎과 상추의 잔류농약 실태 및 안전성 평가)

  • Park, Won-Hee;Hwang, In-Sook;Kim, Eun-Jeong;Cho, Tae-Hee;Hong, Chae-Kyu;Lee, Jae-In;Choi, Su-Jeong;Kim, Jin-A;Lee, Yun-Jeong;Kim, Mi-Sun;Kim, Gi-Hae;Kim, Moo-Sang
    • The Korean Journal of Pesticide Science
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    • v.19 no.3
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    • pp.151-160
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    • 2015
  • This study was conducted to monitor residual pesticides in perilla leaf & lettuce and to assess their risk to human health. The total number of perilla leaf & lettuce were 4,063 and 2,248 respectively and these products were collected at the Garak-dong Agricultural & Marine Products Market sold by auction from 2010 to 2012. Multi-residual analysis of 285 pesticides were performed by GC-ECD, GC-NPD, HPLC-DAD and HPLC-FLD. In perilla leaf, 61 pesticides were detected and detection rate was 20.0%. 28 pesticides were detected in case of lettuce and detection rate was 4.8%. In order to do risk assessment by perilla leaf & lettuce consumption, estimated daily intake of residual pesticides were determined and compared to acceptable daily intake, referring to hazard index (HI values). The range of % HI values of perilla leaf was from 0.000% to 0.049%. The range of % HI values of lettuce was from 0.000% to 0.095%. These results show that the risk caused by pesticide residues in perilla leaf & lettuce intake were very low and these vegetable intake was safe.