DVM ile kulak biyometrisi siniflandirilmasinda TBA, DAA ve AOVY'nin performansinin karşilaştirilmasi

Ümit Kaçar; Mürvet Kirci; Ece Olcay Güneş; Tolga Inan

doi:10.1109/SIU.2015.7130067

DVM ile kulak biyometrisi siniflandirilmasinda TBA, DAA ve AOVY'nin performansinin karşilaştirilmasi

Translated title of the contribution: A comparison of PCA, LDA and DCVA in ear biometrics classification using SVM

Ümit Kaçar, Mürvet Kirci, Ece Olcay Güneş, Tolga Inan

Department of Electronics and Communication Engineering

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

3 Citations (Scopus)

Abstract

Despite increasing three dimensional recognition rate in ear biometric, there is need for special equipment to three dimensional image. Ear biometrics recognition rate was obtained high success by combined distinctive common vector approach methods with support vector machines in two-dimensional low-resolution cameras used surveillance and security system. In particular, this method will provide an important contribution to the non-cooperative personnel identification.

Translated title of the contribution	A comparison of PCA, LDA and DCVA in ear biometrics classification using SVM
Original language	Turkish
Title of host publication	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1260-1263
Number of pages	4
ISBN (Electronic)	9781467373869
DOIs	https://doi.org/10.1109/SIU.2015.7130067
Publication status	Published - 19 Jun 2015
Event	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey Duration: 16 May 2015 → 19 May 2015

Publication series

Name	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

Conference

Conference	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015
Country/Territory	Turkey
City	Malatya
Period	16/05/15 → 19/05/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Access to Document

10.1109/SIU.2015.7130067

Cite this

Kaçar, Ü., Kirci, M., Güneş, E. O., & Inan, T. (2015). DVM ile kulak biyometrisi siniflandirilmasinda TBA, DAA ve AOVY'nin performansinin karşilaştirilmasi. In 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings (pp. 1260-1263). Article 7130067 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2015.7130067

Kaçar, Ümit ; Kirci, Mürvet ; Güneş, Ece Olcay et al. / DVM ile kulak biyometrisi siniflandirilmasinda TBA, DAA ve AOVY'nin performansinin karşilaştirilmasi. 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1260-1263 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings).

@inproceedings{0d9a18cde5d24b2db54e05cdf634a943,

title = "DVM ile kulak biyometrisi siniflandirilmasinda TBA, DAA ve AOVY'nin performansinin kar{\c s}ila{\c s}tirilmasi",

abstract = "Despite increasing three dimensional recognition rate in ear biometric, there is need for special equipment to three dimensional image. Ear biometrics recognition rate was obtained high success by combined distinctive common vector approach methods with support vector machines in two-dimensional low-resolution cameras used surveillance and security system. In particular, this method will provide an important contribution to the non-cooperative personnel identification.",

keywords = "2D ear recognition, Biometrics, Discriminative common vector approach, linear discriminant analysis, principal component analysis, support vector machines",

author = "{\"U}mit Ka{\c c}ar and M{\"u}rvet Kirci and G{\"u}ne{\c s}, {Ece Olcay} and Tolga Inan",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 ; Conference date: 16-05-2015 Through 19-05-2015",

year = "2015",

month = jun,

day = "19",

doi = "10.1109/SIU.2015.7130067",

language = "T{\"u}rk{\c c}e",

series = "2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1260--1263",

booktitle = "2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings",

address = "United States",

}

Kaçar, Ü, Kirci, M , Güneş, EO & Inan, T 2015, DVM ile kulak biyometrisi siniflandirilmasinda TBA, DAA ve AOVY'nin performansinin karşilaştirilmasi. in 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings., 7130067, 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1260-1263, 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015, Malatya, Turkey, 16/05/15. https://doi.org/10.1109/SIU.2015.7130067

DVM ile kulak biyometrisi siniflandirilmasinda TBA, DAA ve AOVY'nin performansinin karşilaştirilmasi. / Kaçar, Ümit; Kirci, Mürvet ; Güneş, Ece Olcay et al.
2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1260-1263 7130067 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings).

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

TY - GEN

T1 - DVM ile kulak biyometrisi siniflandirilmasinda TBA, DAA ve AOVY'nin performansinin karşilaştirilmasi

AU - Kaçar, Ümit

AU - Kirci, Mürvet

AU - Güneş, Ece Olcay

AU - Inan, Tolga

PY - 2015/6/19

Y1 - 2015/6/19

N2 - Despite increasing three dimensional recognition rate in ear biometric, there is need for special equipment to three dimensional image. Ear biometrics recognition rate was obtained high success by combined distinctive common vector approach methods with support vector machines in two-dimensional low-resolution cameras used surveillance and security system. In particular, this method will provide an important contribution to the non-cooperative personnel identification.

AB - Despite increasing three dimensional recognition rate in ear biometric, there is need for special equipment to three dimensional image. Ear biometrics recognition rate was obtained high success by combined distinctive common vector approach methods with support vector machines in two-dimensional low-resolution cameras used surveillance and security system. In particular, this method will provide an important contribution to the non-cooperative personnel identification.

KW - 2D ear recognition

KW - Biometrics

KW - Discriminative common vector approach

KW - linear discriminant analysis

KW - principal component analysis

KW - support vector machines

UR - http://www.scopus.com/inward/record.url?scp=84939175247&partnerID=8YFLogxK

U2 - 10.1109/SIU.2015.7130067

DO - 10.1109/SIU.2015.7130067

M3 - Konferans katkısı

AN - SCOPUS:84939175247

T3 - 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

SP - 1260

EP - 1263

BT - 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015

Y2 - 16 May 2015 through 19 May 2015

ER -

Kaçar Ü, Kirci M , Güneş EO, Inan T. DVM ile kulak biyometrisi siniflandirilmasinda TBA, DAA ve AOVY'nin performansinin karşilaştirilmasi. In 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1260-1263. 7130067. (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings). doi: 10.1109/SIU.2015.7130067

DVM ile kulak biyometrisi siniflandirilmasinda TBA, DAA ve AOVY'nin performansinin karşilaştirilmasi

Abstract

Publication series

Conference

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this