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

fYear

2013

fDate

9-12 July 2013

Firstpage

736

Lastpage

742

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion (FUSION), 2013 16th International Conference on

Conference_Location

Istanbul

Print_ISBN

978-605-86311-1-3

Type

conf

Filename

6641355