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Szántó, Marcell
Dr. Temesvári, Zsolt
2026-09-18T08:06:25Z
2026-09-18T08:06:25Z
2020
http://hdl.handle.net/20.500.14044/40459
Biometric identification is no longer an idea of the future, it’s a possibility of the present. It’s enough to think about everyday things like the new ID card, some laptops, and most cell phones. We can see that the use of biometric-based identification systems is growing on a large scale. Behind the rapid spread is both demand and offer. On the demand side, there is a demand for security. For example, states want to know who is crossing their borders, and companies want to know who is entering their buildings. On the supply side, compact and inexpensive devices appear that can be easily integrated into any system. Although experts believe that biometric identification can be considered extremely secure, these systems also have weaknesses. In the course of my research, I examine fingerprint-based recognition among biometric identification types in more depth. There are also two types of errors that affect system reliability. One is FAR, i.e. false acceptance, the other is FRR, i.e. false rejection. In my work, I would like to find a solution to how we can best reduce the first and second type errors (FAR and FRR) by changing the number of samples and tuning the acceptance threshold. The biggest difficulty with this is finding the EER (Equal Error Rate) point, as deviating from this point, the error rates show an increasing trend. Another topic of my research is the examination of LoRaWAN technology for reliability. The health and remote monitoring armband I designed uses LoRa communication to transmit information. The biggest advantage of the technology is the long-range, which is significantly influenced by environmental variables and current terrain conditions. I would like to find out what range the LoRa module I use can operate in different noise-laden environments, under different weather and terrain conditions. This can be used to establish a coverage area within which the exchange of information between the LoRa device and its associated gateway can be guaranteed.hu_HU
Biometric identification is no longer an idea of the future, it’s a possibility of the present. It’s enough to think about everyday things like the new ID card, some laptops, and most cell phones. We can see that the use of biometric-based identification systems is growing on a large scale. Behind the rapid spread is both demand and offer. On the demand side, there is a demand for security. For example, states want to know who is crossing their borders, and companies want to know who is entering their buildings. On the supply side, compact and inexpensive devices appear that can be easily integrated into any system. Although experts believe that biometric identification can be considered extremely secure, these systems also have weaknesses. In the course of my research, I examine fingerprint-based recognition among biometric identification types in more depth. There are also two types of errors that affect system reliability. One is FAR, i.e. false acceptance, the other is FRR, i.e. false rejection. In my work, I would like to find a solution to how we can best reduce the first and second type errors (FAR and FRR) by changing the number of samples and tuning the acceptance threshold. The biggest difficulty with this is finding the EER (Equal Error Rate) point, as deviating from this point, the error rates show an increasing trend. Another topic of my research is the examination of LoRaWAN technology for reliability. The health and remote monitoring armband I designed uses LoRa communication to transmit information. The biggest advantage of the technology is the long-range, which is significantly influenced by environmental variables and current terrain conditions. I would like to find out what range the LoRa module I use can operate in different noise-laden environments, under different weather and terrain conditions. This can be used to establish a coverage area within which the exchange of information between the LoRa device and its associated gateway can be guaranteed.hu_HU
dc.formatpdfhu_HU
enhu_HU
Biometric identification and LoRaWAN communication problems in remote health monitoringhu_HU
Open accesshu_HU
Óbudai Egyetemhu_HU
2020. November 19-20.hu_HU
Budapesthu_HU
Kandó Kálmán Villamosmérnöki Karhu_HU
Óbudai Egyetemhu_HU
Műszaki tudományok - gépészeti tudományokhu_HU
lorawanhu_HU
biometrichu_HU
fingerprinthu_HU
communicationhu_HU
identificationhu_HU
Konferenciaközleményhu_HU
XXXVI. Kandó Konferencia KK2020hu_HU
local.tempfieldCollectionsKönyvrészletekhu_HU
9.hu_HU
Kiadói változathu_HU
9 p.hu_HU
XXXVI. Kandó Konferenciahu_HU
978-963-449-224-5hu_HU
2020hu_HU
Óbudai Egyetemhu_HU
Budapesthu_HU


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