@inproceedings{b5bf4c0e515d4280a9b24174ec73f3a4,
title = "ARM based ear recognition embedded system",
abstract = "This paper presents a fully embedded ear recognition system using Principal Component Analysis (PCA) based on an ARM microcontroller which can be programmed with MicroC language. As it's a common belief, PCA is the first known and easiest way for pattern recognition, but it's not used in many applications with a microcontroller unit until now. The ear recognition system is programmed and can be used independent from a regular computer as a fully embedded system. Dataset is stored in the flash memory and the system can be trained in every validation and test processes without a regular computer. Experimental results for recognition rates are acceptable and as good as for safety systems.",
keywords = "Ear recognition, Embedded System, Microcontroller, PCA Based Recognition System, Principal component analysis",
author = "Murat Kus and Umit Kacar and M{\"u}rvet Kirci and Gunes, {Ece Olcay}",
year = "2013",
doi = "10.1109/EUROCON.2013.6625258",
language = "English",
isbn = "9781467322324",
series = "IEEE EuroCon 2013",
pages = "2021--2028",
booktitle = "IEEE EuroCon 2013",
note = "IEEE EuroCon 2013 ; Conference date: 01-07-2013 Through 04-07-2013",
}