TY - GEN
T1 - An embedded biometric system
AU - Kacar, Umit
AU - Kirci, Murvet
AU - Kus, Murat
AU - Gunes, Ece Olcay
PY - 2013
Y1 - 2013
N2 - Nowadays, biometric recognition systems become very popular in security applications. There are many biometric features which can be used for this purpose, such as iris, finger prints, face, etc. Ear is also a biometric feature. Because of its advantages, many scientists tend to work on this, as well. So in this paper, an embedded ear recognition system is introduced. System is based on an ARM microcontroller which can be programmed with MicroC programming language. Presented recognition system can be used independent from a personal computer, and stored all the dataset in its own memory and experimental results show that, recognition rate is very well.
AB - Nowadays, biometric recognition systems become very popular in security applications. There are many biometric features which can be used for this purpose, such as iris, finger prints, face, etc. Ear is also a biometric feature. Because of its advantages, many scientists tend to work on this, as well. So in this paper, an embedded ear recognition system is introduced. System is based on an ARM microcontroller which can be programmed with MicroC programming language. Presented recognition system can be used independent from a personal computer, and stored all the dataset in its own memory and experimental results show that, recognition rate is very well.
KW - Discriminative Common Vectors Approach
KW - Ear recognition
KW - Embedded System
KW - Principal component analysis
UR - https://www.scopus.com/pages/publications/84890837181
M3 - Conference contribution
AN - SCOPUS:84890837181
SN - 9786058631113
T3 - Proceedings of the 16th International Conference on Information Fusion, FUSION 2013
SP - 736
EP - 742
BT - Proceedings of the 16th International Conference on Information Fusion, FUSION 2013
T2 - 16th International Conference of Information Fusion, FUSION 2013
Y2 - 9 July 2013 through 12 July 2013
ER -