• Journal of IKEEE
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• v.25 no.1
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• pp.42-46
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• 2021

A novel key exchange cryptographic method utilizing biometric finger print as a user's private key is proposed. Each unknown users' finger print is encrypted by optical phase-shifting interferometry principle and is changed into two ciphers, which are exchanged with the other party over a public communication network for secret key sharing. The transmitted ciphers generate a complex hologram, which is used to calculate a shared secret key for each user. The proposed method provides high security when applied to a secret key sharing encryption system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.122-124
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• 2010

WPS(Wifi Positioning System) is a location determination technique that utilizes AP information scattered all over the real world. In general, the finger print technique is used for location calculations in WPS. However the finger print technique is a location determination technique that utilizes average values and has problems in the accuracy of the location determination. It also shows low performance of the system due to arithmetic operations. In this paper, the MSS(Max Signal Strength) method is proposed to resolve the existing problems in the finger print technique. The proposed method can reduce the operation time and improve the accuracy of the system under the same conditions. Test environments of the system is presented and the performance of the system is analyzed to verify the methods.

• Journal of Advanced Navigation Technology
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• v.17 no.6
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• pp.810-815
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• 2013

In case Wi-Fi network based First responder's position tracking system is used, range measurement must be generated from RSSI finger print database. However, it is impossible to build up finger print database and to perform rescue operation at same time in the scene of rescue. In this paper, improvised Wi-Fi network without finger print database and pedestrian dead reckoning based first responders tracking system is proposed.

• Proceedings of the KIEE Conference
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• 2006.04a
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• pp.114-116
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• 2006

This paper is to propose the palm print recognition system using wavelet transform. The palm print is frequently used as the material for the biometric recognition system such as the finger print, iris, face, etc. Since the palm print has lots of properties which include principle line, wrinkles, ridge and so forth, the ways of the implementation of the system are various. In this paper, at first, the palm print image is acquired and then some level of wavelet transform is performed. The coefficients become to be some blocks size of M by N after divided into the horizontal, vertical, diagonal components each level. The mean values, which are calculated with values of each block, are used as the feature vector. To compare between the stored template and the acquired vectors, we adopt the PNN (Probability Neural Network) method.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.37 no.5
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• pp.1-8
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• 2000

Point pattern matching schemes for finger print recognition do not guarantee robust matching performance for fingerprint Images of poor quality We present a finger print recognition scheme, where transformation parameters of matched ridge pairs are estimated by Hough transform and the matching hypothesis is verified by a new measure of the matching degree using selective directional information Proposed method may exhibit extremely low FAR(False accept rate) while maintaining low reject rate even for the Images of poor quality because of the robustness to the variation of minutia points.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.173-178
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• 2008

Due to a rapid increase in demand for bigger-screen-equipped mobile phones in recent years, many big-name-manufactures have been releasing touch-screen-enabled devices. In this paper, various touch-screen-input methods have been summarized into 6 different categories. How? By tracing each user's finger print path, user's input pattern and behavior have been carefully recorded and analyzed. Through this analysis, what to be considered before designing UI is presented in great details.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.546-546
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• 2012

Traditional screen printing is still a dominant method to print electrodes on c-Si solar cells. In order to achieve higher efficiency for c-Si solar cells, improvement of the electrode material is one of the key approaches. Shadowing loss can be reduced by using high aspect ratio finger electrode with width of finger electrode less than 80um. The rheological properties of Ag paste for applying c-Si solar cells are improved by using Ag nanowires. The printing properties including the aspect ratio of printed electrode can be improved with higher Thixotropic index (T.I.) values.

• Korean Journal of Oriental Medicine
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• v.7 no.1
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• pp.17-37
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• 2001

This report studies the history of diagnostic development of Myeong Dynasty(明代). This period is the success of Keum-Won Dynasty(金元代) when the special development of medicin was taken, and is the origin of the developement of medicine of Cheong Dynasty(淸代). The conclusion is like this. The palpitation was developed to be papular, to illustrate and to be simple. The development of seeing diagnostics of Myeong Dynasty was characterized the entrance of special book of seeing diagnostics, the study of finger print of child and the development of seeing tongue diagnostics. In Myeong Dynasty, discrimination of smell(辨氣) theory was developed with the development of fever school. The development of discrimination of symptoms of Myeong Dynasty was finished in every realms, specially in discrimination of symptoms of fever.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.10
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• pp.1228-1233
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• 2019

Recently, a variety of algorithms using encryption technology have been adopted as methods of unlocking smartphone. It is advancing toward the direction to solve the unlocking problem through human biometrics technology, which has already succeeded in commercializing. These include finger print recognition, face recognition, and iris recognition. In this study, the evaluation items are five algorithms, including finger print recognition, face recognition, iris recognition, pattern recognition, and password input method. Based on the algorithms adopted, the AHP (analytic hierarchy process) technique was used to calculate the preferred priorities for smartphone users. Finger print recognition ( .400) was the top priority for smartphone users. Next, pattern recognition ( .237) was placed in the second priority for smartphone users. Therefore, based on the results of the analysis, the limitations of the study and theoretical implications are suggested.

• Journal of Electrical Engineering and Technology
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• v.8 no.3
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• pp.633-637
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• 2013

A wide range of applications for Foot Print Recognition System is discussed in this paper. The whole concept works under the principle that foot print is a parameter associated with biometrics that is very common as well as distinct. Its foremost application is at the government hospitals in the under developed and third world nations where there aren't the best of facilities. This system can be applied in the maternity ward of the hospitals for the identification or differentiation of the infants. Till date there has been no specialized system adopted for this purpose. The Foot Print Recognition System will overcome all the defects of any biometrics when applied here. Since the child will be very delicate for an iris scan and it will not be able to open its eyes wide or to correctly place its finger print on the sensor since the hands of a new born infant will be closed for a while. The Foot Print Recognition system can also be implemented in temples where there are cases of theft often reported. This can be used to grant access to the karpagraham of the deity by authorized users alone. These 2 applications of FPRS are discussed in this paper.