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Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F12%3A43868358%21RIV13-MSM-28140___
rdf:type
skos:Concept n14:Vysledek
dcterms:description
The biometric systems are part of our everyday lives. Many of us are in touch with them every day in order to carry out our work. However, we are unaware about their important qualities: reliability and integrity. Those qualities may in many cases affect our satisfaction with these tools and their eventual deployment to designated areas. The face recognition technology has emerged as an attractive solution to address many contemporary needs for identification and verification of identity claims. Face recognition systems are based on the anthropological minutiae on the face. One of the easiest methods used during the 1960s is the graphical method based on descriptive geometry principles made by the Soviets. This chapter may be divided into two main parts – measuring faces by the A4Vision biometric system and measuring faces by the analytical-statistical method. The chapter introduces reliability of the A4Vision system tested in laboratory conditions and shows the bases of this system – the analytical-statistical method applied to measurement of changes in the face of ten different women, and ten emotional changes of one woman, which were measured to obtain better understanding of programming requirements for better reliability of those systems. The biometric systems are part of our everyday lives. Many of us are in touch with them every day in order to carry out our work. However, we are unaware about their important qualities: reliability and integrity. Those qualities may in many cases affect our satisfaction with these tools and their eventual deployment to designated areas. The face recognition technology has emerged as an attractive solution to address many contemporary needs for identification and verification of identity claims. Face recognition systems are based on the anthropological minutiae on the face. One of the easiest methods used during the 1960s is the graphical method based on descriptive geometry principles made by the Soviets. This chapter may be divided into two main parts – measuring faces by the A4Vision biometric system and measuring faces by the analytical-statistical method. The chapter introduces reliability of the A4Vision system tested in laboratory conditions and shows the bases of this system – the analytical-statistical method applied to measurement of changes in the face of ten different women, and ten emotional changes of one woman, which were measured to obtain better understanding of programming requirements for better reliability of those systems.
dcterms:title
Face Recognition Systems - Reliability and Credibility Face Recognition Systems - Reliability and Credibility
skos:prefLabel
Face Recognition Systems - Reliability and Credibility Face Recognition Systems - Reliability and Credibility
skos:notation
RIV/70883521:28140/12:43868358!RIV13-MSM-28140___
n14:predkladatel
n20:orjk%3A28140
n3:aktivita
n8:S
n3:aktivity
S
n3:dodaniDat
n7:2013
n3:domaciTvurceVysledku
n16:8777934
n3:druhVysledku
n17:C
n3:duvernostUdaju
n21:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
136001
n3:idVysledku
RIV/70883521:28140/12:43868358
n3:jazykVysledku
n18:eng
n3:klicovaSlova
biometric systems, face recognition, anthropometrical points, photoanthropometry
n3:klicoveSlovo
n9:biometric%20systems n9:anthropometrical%20points n9:photoanthropometry n9:face%20recognition
n3:kontrolniKodProRIV
[CBF90D4CFC09]
n3:mistoVydani
Vienna
n3:nazevEdiceCisloSvazku
DAAAM
n3:nazevZdroje
DAAAM International Scientific Book 2012
n3:obor
n11:JA
n3:pocetDomacichTvurcuVysledku
1
n3:pocetStranKnihy
676
n3:pocetTvurcuVysledku
1
n3:rokUplatneniVysledku
n7:2012
n3:tvurceVysledku
Sulovská, Kateřina
s:numberOfPages
10
n15:doi
10.2507/daaam.scibook.2012.06
n13:hasPublisher
DAAAM International Vienna
n19:isbn
978-3-901509-86-5
n5:organizacniJednotka
28140