• Journal of Korea Multimedia Society
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• v.13 no.9
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• pp.1337-1347
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• 2010

Fingerprint recognition is a biometric technology to identify individual by using fingerprint features such ridges and valleys. Most fingerprint systems perform the recognition based on minutiae points after acquiring a fingerprint image from contact type sensor. They have an advantage of acquiring a clear image of uniform size by touching finger on the sensor. However, they have the problems of the image quality can be reduced in case of severely dry or wet finger due to the variations of touching pressure and latent fingerprint on the sensor. To solve these problems, the contactless capturing devices for a fingerprint image was introduced in previous works. However, the accuracy of detecting minutiae points and recognition performance are reduced due to the degradation of image quality by the illumination variation. So, this paper proposes a new LDP-based fingerprint recognition method. It can effectively extract fingerprint patterns of iterative ridges and valleys. After producing histograms of the binary codes which are extracted by the LDP method, chi square distance between the enrolled and input feature histograms is calculated. The calculated chi square distance is used as the score of fingerprint recognition. As the experimental results, the EER of the proposed approach is reduced by 0.521% in comparison with that of the previous LBP-based fingerprint recognition approach.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.11a
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• pp.293-296
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• 2000

본 논문에서는 최근 신원확인 수단으로 각광받고 있는 생체인식 중 가장 신뢰도가 높은 홍채인식에 관한 연구에 대해 기술하고 있다. 비접촉식 홍채인식 시스템의 경우 홍채영상의 획득 시 사람의 머리가 기울어지거나 움직임에 따라 영상이 좌측 혹은 우측으로 조금씩 회전, 혹은 이동하거나 크기가 달라지게 된다. 이런 경우 동일인의 홍채영상도 매번 조금씩 달라지게 되므로, 정확한 인식을 위해서는 획득된 각 영상의 정규화 과정과 함께 회전된 영상에 대한 보완 등의 전처리 과정이 매우 중요하다. 영상 필터를 통한 정확한 외곽 경계의 검출과 정규화, 비교방법을 통해 이를 보완하고, 웨이블렛 변환을 이용하여 특징값을 얻은 후 검증 실험 결과를 보임으로써 회전, 이동, 크기에 무관한 홍채 인식 방법을 제안하고자 한다.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.33-43
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• 2022

In this paper, we propose an ensemble model facilitated by multi-channel palm images with attention U-Net models and pretrained convolutional neural networks (CNNs) for establishing a contactless palm-based user identification system using conventional inexpensive camera sensors. Attention U-Net models are used to extract the areas of interest including hands (i.e., with fingers), palms (i.e., without fingers) and palm lines, which are combined to generate three channels being ped into the ensemble classifier. Then, the proposed palm information-based user identification system predicts the class using the classifier ensemble with three outperforming pre-trained CNN models. The proposed model demonstrates that the proposed model could achieve the classification accuracy, precision, recall, F1-score of 98.60%, 98.61%, 98.61%, 98.61% respectively, which indicate that the proposed model is effective even though we are using very cheap and inexpensive image sensors. We believe that in this COVID-19 pandemic circumstances, the proposed palm-based contactless user identification system can be an alternative, with high safety and reliability, compared with currently overwhelming contact-based systems.

• Journal of Internet Computing and Services
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• v.10 no.2
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• pp.53-63
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• 2009

e-Passport system is new type of emigration and immigration control system and it is a research to introduce the e-Passport Authentication Protocol with Improved Efficiency is lively proceeded over the entire world. The e-Passport's chip has a biometric information and personal identification information, Radio Frequency Identification(RFID) technology is used for communication with the Inspection System(IS). However, the feature of the RFID system may bring about various security threats such as eavesdropping, data forgeries, data alternation, cloning, biometric data-leakage. Therefore, in this paper, we analyse the e-Passport system's authentication protocol to protect vulnerability and proposed e-Passport system's authentication protocol reduce computation. Also, we compared their efficiency.