Paper
31 December 2018 Biometric evaluation of palmlines by microstrip line networks
Bogdan-Mihai Gavriloaia, Mariuca Gavriloaia, Marian Novac, Nicolae-Dragoş Militaru, Nicolae Vizireanu
Author Affiliations +
Proceedings Volume 10977, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies IX; 109771Y (2018) https://doi.org/10.1117/12.2323762
Event: Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies IX, 2018, Constanta, Romania
Abstract
Today issue of security becomes luma increasingly important, with implications for all sectors of activity. Reported at the scientific aspect, user identification is the primary objective under which access into buildings, financial, information, transport, health, etc. In this regard, the physical and/or behavior characteristics could be utilized to identify/verify the subject of interest. The palmprint biometrics have demonstrated their applicability as a successful biometric modality by using various feature extraction techniques. An original method of the individual identified by the analysis of the characteristics of main lines (topological size and planar arrangement) of ordinary video images is described in this paper. The method involves the use of specific methods from microwave engineering to evaluation of the main line morphometry that are modeled using microstrip lines. Also, this proposed method could be used to evaluate the vein characteristics from infrared palm images.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bogdan-Mihai Gavriloaia, Mariuca Gavriloaia, Marian Novac, Nicolae-Dragoş Militaru, and Nicolae Vizireanu "Biometric evaluation of palmlines by microstrip line networks", Proc. SPIE 10977, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies IX, 109771Y (31 December 2018); https://doi.org/10.1117/12.2323762
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KEYWORDS
Biometrics

Electromagnetism

Microwave radiation

Databases

Maxwell's equations

Sensors

Video

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