Fingerprint Authentication Device Based on Optical Characteristics Inside a Finger

Sano, Eisaku; Maeda, Takuji; Nakamura, Taichi; Shikai, Masahiro; Matsushita, Mitsunori; Sasakawa, Koichi

doi:10.1109/cvprw.2006.83

Cited by 17 publications

(9 citation statements)

References 4 publications

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“…For example, in the last years, advanced biometric identification devices are gaining relevance [11], [12], [13]. Such identification systems require expensive biosensor peripherals (e.g., for printing acquisition), secure storage for valid prints, and efficient implementations of matching techniques.…”

Section: Related Workmentioning

confidence: 99%

A bluetooth infrastructure for automatic services access in ubiquitous and nomadic computing environments

Ficco

D’Arienzo

D’Angelo

2007

Proceedings of the 5th ACM International Workshop on Mobility Management and Wireless Access

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The proliferation of mobile devices and wireless technologies pave the ground to new scenarios that attract the interest of service providers and business operators. However, to let mobile users able to receive the same services independently from the context in which they operate, several open issues need to be solved. One of these issues is related to the current levels of security that often require mobile users to exchange secret credentials with the network operators or an authentication server. This constraint limits mobile users who wish to access wireless services anywhere without caring for configuration of used devices. This paper proposes a new device that enables a mobile user to access wireless services in a seamless and automatic way using a context-aware approach in ubiquitous/nomadic computing environments. This device implements a Bluetooth personal identification badge that automatically authenticates and authorizes a mobile user to access services independently of the mobile terminal used. Any user's terminal can retrieve proper credentials in order to authenticate and gain access to different network access points. The design and implementation of a prototype of such a device is presented.

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Section: Related Workmentioning

confidence: 99%

A bluetooth infrastructure for automatic services access in ubiquitous and nomadic computing environments

Ficco

D’Arienzo

D’Angelo

2007

Proceedings of the 5th ACM International Workshop on Mobility Management and Wireless Access

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“…During previous studies, specifically with fingerpfint and hand geometry, subjects would ask questons about the cleanliness of the sensor. Latent prints left on the platen glass of a device by the deposition of finger moisture, sweat, or oils, can make it appear to be unclean [1]. In 2006, s survey yielded responses about the perception of the cleanliness of biometric devices.…”

Section: Introductionmentioning

confidence: 98%

Bacterial Survivability and Transferability on Biometric Devices

Blomeke¹,

Elliott²,

Walter

2007

2007 41st Annual IEEE International Carnahan Conference on Security Technology

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The purpose of this study was to investigate bacterial recovery and transfer from three biometric sensors and the survivability of bacteria on the devices. The modalities tested were fingerprint, hand geometry and hand vein recognition, all of which require sensor contact with the hand or fingers to collect the biometric. Each sensor was tested separately with two species of bacteria, Staphylococcus aureus and Escherichia coli.Survivability was investigated by sterilizing the sensor surface, applying a known volume of diluted bacterial culture to the sensor and allowing it to dry. Bacteria were recovered at 5, 20, 40 and 60 minutes after drying by touching the contaminated device with a sterile finger cot. The finger cot was re-suspended in 5 mL of saline solution, and plated dilutions to obtain live cells counts from the bacterial recovery. The transferability of bacteria from each device surface was investigated by touching the contaminated device and then touching a plate to transfer the bacteria to growth medium to obtain live cell counts. The time lapse between consecutive touches was one minute, with the number of touches was n = 50. Again, S. aureus and E. coli were used separately as detection organisms. This paper will descrbe the results of the study in terms of survival curves and transfer curves of each bacterial strain for each device.

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“…Many solutions have been proposed to protect fingerprint sensors against these attacks, such as the use of skin temperature, perspiration or skin optical properties for liveness detection [1][2][3][4][5][8][9][10][12][13][14]16,17,20,[23][24][25][26][27][28][32][33][34][35][36]39,42,43].…”

Section: Introductionmentioning

confidence: 99%