An embedded biometric system

Umit Kacar; Murvet Kirci; Murat Kus; Ece Olcay Gunes

An embedded biometric system

Umit Kacar, Murvet Kirci, Murat Kus, Ece Olcay Gunes

Department of Electronics and Communication Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 16th International Conference on Information Fusion, FUSION 2013
Pages	736-742
Number of pages	7
Publication status	Published - 2013
Event	16th International Conference of Information Fusion, FUSION 2013 - Istanbul, Turkey Duration: 9 Jul 2013 → 12 Jul 2013

Publication series

Name	Proceedings of the 16th International Conference on Information Fusion, FUSION 2013

Conference

Conference	16th International Conference of Information Fusion, FUSION 2013
Country/Territory	Turkey
City	Istanbul
Period	9/07/13 → 12/07/13

Keywords

Discriminative Common Vectors Approach
Ear recognition
Embedded System
Principal component analysis

Cite this

@inproceedings{82d89e481c1d4641b9f45c898ed411d5,

title = "An embedded biometric system",

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 = "Discriminative Common Vectors Approach, Ear recognition, Embedded System, Principal component analysis",

author = "Umit Kacar and Murvet Kirci and Murat Kus and Gunes, {Ece Olcay}",

year = "2013",

language = "English",

isbn = "9786058631113",

series = "Proceedings of the 16th International Conference on Information Fusion, FUSION 2013",

pages = "736--742",

booktitle = "Proceedings of the 16th International Conference on Information Fusion, FUSION 2013",

note = "16th International Conference of Information Fusion, FUSION 2013 ; Conference date: 09-07-2013 Through 12-07-2013",

}

An embedded biometric system. / Kacar, Umit; Kirci, Murvet; Kus, Murat et al.
Proceedings of the 16th International Conference on Information Fusion, FUSION 2013. 2013. p. 736-742 6641355 (Proceedings of the 16th International Conference on Information Fusion, FUSION 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 - http://www.scopus.com/inward/record.url?scp=84890837181&partnerID=8YFLogxK

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 -

An embedded biometric system

Abstract

Publication series

Conference

Keywords

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