Title :
An embedded biometric system
Author :
Kacar, Umit ; Kirci, Murvet ; Kus, M. ; Gunes, Ece Olcay
Author_Institution :
Inst. of Sci. & Technol., Istanbul Tech. Univ., Istanbul, Turkey
Abstract :
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.
Keywords :
C language; biometrics (access control); ear; embedded systems; image recognition; microcontrollers; ARM microcontroller; MicroC programming language; biometric features; biometric recognition systems; embedded biometric system; embedded ear recognition system; personal computer; recognition rate; security applications; Ear; Eigenvalues and eigenfunctions; Jacobian matrices; Principal component analysis; Read only memory; Training; Vectors; Discriminative Common Vectors Approach; Ear recognition; Embedded System; Principal component analysis;
Conference_Titel :
Information Fusion (FUSION), 2013 16th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-605-86311-1-3