• Journal of information and communication convergence engineering
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• v.14 no.1
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• pp.45-50
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• 2016

Gait-based classification has gained much interest as a possible authentication method because it incorporate an intrinsic personal signature that is difficult to mimic. The study investigates machine learning techniques to mitigate the natural variations in gait among different subjects. We incorporated several machine learning algorithms into this study using the data mining package called Waikato Environment for Knowledge Analysis (WEKA). WEKA's convenient interface enabled us to apply various sets of machine learning algorithms to understand whether each algorithm can capture certain distinctive gait features. First, we defined 24 gait features by analyzing three-axis acceleration data, and then selectively used them for distinguishing subjects 10 years of age or younger from those aged 20 to 40. We also applied a machine learning voting scheme to improve the accuracy of the classification. The classification accuracy of the proposed system was about 81% on average.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.3022-3024
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• 2000

Biometrics is the electronic recognition of individuals achieved through a process of extracting, and then verifying, features which are unique to that individual. This field is rapidly evolving technology that has to be widely adopted in a broad range of applications. Many methods have been studied such as extraction of the facial features, the voice, the vein and even a person's signature. Among biometrics, a hand veins provide large, robust, stable, hidden biometric features. Hand vein patterns have been proven to be absolutely unique by Cambridge Consultants Ltd. Because of this advantage, hand vein recognition are recently developing field in the field of a security.

• Journal of Information Processing Systems
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• v.8 no.3
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• pp.445-458
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• 2012

Image feature extraction is one of the basic works for biometric analysis. This paper presents the novel concept of application of ridgelets for iris recognition systems. Ridgelet transforms are the combination of Radon transforms and Wavelet transforms. They are suitable for extracting the abundantly present textural data that is in an iris. The technique proposed here uses the ridgelets to form an iris signature and to represent the iris. This paper contributes towards creating an improved iris recognition system. There is a reduction in the feature vector size, which is 1X4 in size. The False Acceptance Rate (FAR) and False Rejection Rate (FRR) were also reduced and the accuracy increased. The proposed method also avoids the iris normalization process that is traditionally used in iris recognition systems. Experimental results indicate that the proposed method achieves an accuracy of 99.82%, 0.1309% FAR, and 0.0434% FRR.

• Journal of Intelligence and Information Systems
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• v.11 no.1
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• pp.1-15
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• 2005

As organizations search fur more secure authentication methods (Dr user access, e-commerce, and other security applications, biometrics is gaining increasing attention. Biometrics offers greater security and convenience than traditional methods of personal recognition. In some applications, biometrics can replace or supplement the existing technology. In others, it is the only viable approach. Several biometric methods of identification, including fingerprint hand geometry, facial, ear, iris, eye, signature and handwriting have been explored and compared in this paper. They all are well suited for the specific application to their domain. This paper briefly identifies and categorizes them in particular domain well suited for their application. Some methods are less intrusive than others.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.824-827
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• 2005

The need to be able to identify other individual human beings is fundamental to the security and has been true since the beginning of human history. Physical or behavioral characteristics (finger-scan, face-scan, voice, palm, iris, retina, signature, human DNA, keystroke, vain, gait etc.) of a person are used to authenticate the person. The biometric technologies allow for a greater reliability of authentication as compared with password systems for physical access, network security, e-commerce, and so on. In this paper, we describe various technologies, market analysis, multi-modal system, standardization, privacy issue and future prospect of biometrics.

• International journal of advanced smart convergence
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• v.8 no.1
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• pp.44-57
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• 2019

Most banks in Korea have provided Internet banking services based on PKI(Public Key Infrastructure) certificates since the early 2000s when Internet banking began in Korea. To support PKI Internet banking, the Korean government backed the electronic signature law and supported the rapid spread of PKI-based Internet banking by regulating the application of PKI certificates to be compulsory in Internet banking until 2015. PKI Internet Banking in Korea has been developed as a pioneer in this field through many challenges and responses until its present success. Korea's PKI banking, which started with soft-token-based closed banking, has responded to various types of cyber attack attempts and promoted the transition to open banking by accepting various criticisms due to lack of compatibility with international standards. In order to improve the convenience and security of PKI Internet banking, various attempts have been made, such as biometric-integrated smartphone-based PKI authentication. In this paper, we primarily aim to share the experience and lessons of PKI banking by analyzing the evolution process of PKI Internet banking in Korea. It also has the purpose of presenting the challenges of Korea's PKI Internet banking and sharing its development vision.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.62-70
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• 2016

This study investigated the development of a Korean version of the Ayurvedic constitution questionnaire and sought to verify its validity and reliability. Each study subject completed a self-administered questionnaire consisting of 63 questions. The Ayurvedic constitutions were placed into 7 categories. The results from 271 subjects revealed that the internal consistency reliability (Cronbach's ${\alpha}$) in the 41 item biometric signature part of the questionnaire was 0.757. The Cronbach's ${\alpha}$ for the 22 item psychological part was 0.616, whereas the Cronbach's ${\alpha}$ for the entire 63 items was 0.840. Taken together, the results indicate that the Korean version of the Ayurvedic questionnaire was valid. Within the questionnaire, the fourth item about body and the ninth item about psychological showed item-total correlations with negative total values, thereby indicating inconsistent (less reliable) responses. The remaining 61 items had a 0.864 degree of reliability. The results for the pure Vata Pitta and Kapha body types showed a high level of internal consistency reliability, presumably because those participants were of a pure constitution type. The Kappa factor for inter-item coincidence between the judgment of Ayurvedic constitution experts and the judgment derived from the written test scores was 0.619, thereby indicating questionnaire validity. The results of this study may be useful in further development of a Korean version of the Ayurveda constitution questionnaire.