Tekduze yerel ikili örüntuler ile cinsiyet tanima

Llukman Cerkezi; Cihan Topal

doi:10.1109/SIU.2018.8404587

Tekduze yerel ikili örüntuler ile cinsiyet tanima

Translated title of the contribution: Gender recognition with uniform local binary patterns

Llukman Cerkezi, Cihan Topal

Anadolu University

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

4 Citations (Scopus)

Abstract

Automatic gender recognition has been applied in many areas such as analyzing the structure of demographic social environments. In this paper we present a gender recognition algorithm based on uniform local binary pattern (LBP). LBP has proven to be very efficient image descriptor in many pattern recognition applications. In feature extraction step of the proposed method, a well known variant of LBP, uniform local binary pattern is utilized. Before applying LBP the face detection and alignment tasks are performed respectively. By doing alignment, the overlapping of similar part of face has been achieved. Then, we combine local uniform LBP histograms to create the final feature vector. We show that in the experiments carried out in Feret face dataset that the proposed method can achieve up to 93.57% recognition rate.

Translated title of the contribution	Gender recognition with uniform local binary patterns
Original language	Turkish
Title of host publication	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781538615010
DOIs	https://doi.org/10.1109/SIU.2018.8404587
Publication status	Published - 5 Jul 2018
Externally published	Yes
Event	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Turkey Duration: 2 May 2018 → 5 May 2018

Publication series

Name	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

Conference

Conference	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Country/Territory	Turkey
City	Izmir
Period	2/05/18 → 5/05/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Access to Document

10.1109/SIU.2018.8404587

Cite this

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title = "Tekduze yerel ikili {\"o}r{\"u}ntuler ile cinsiyet tanima",

abstract = "Automatic gender recognition has been applied in many areas such as analyzing the structure of demographic social environments. In this paper we present a gender recognition algorithm based on uniform local binary pattern (LBP). LBP has proven to be very efficient image descriptor in many pattern recognition applications. In feature extraction step of the proposed method, a well known variant of LBP, uniform local binary pattern is utilized. Before applying LBP the face detection and alignment tasks are performed respectively. By doing alignment, the overlapping of similar part of face has been achieved. Then, we combine local uniform LBP histograms to create the final feature vector. We show that in the experiments carried out in Feret face dataset that the proposed method can achieve up to 93.57% recognition rate.",

keywords = "Face, Gender recognition, Local binary patterns",

author = "Llukman Cerkezi and Cihan Topal",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 ; Conference date: 02-05-2018 Through 05-05-2018",

year = "2018",

month = jul,

day = "5",

doi = "10.1109/SIU.2018.8404587",

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

series = "26th IEEE Signal Processing and Communications Applications Conference, SIU 2018",

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

pages = "1--4",

booktitle = "26th IEEE Signal Processing and Communications Applications Conference, SIU 2018",

address = "United States",

}

Cerkezi, L & Topal, C 2018, Tekduze yerel ikili örüntuler ile cinsiyet tanima. in 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, Izmir, Turkey, 2/05/18. https://doi.org/10.1109/SIU.2018.8404587

Tekduze yerel ikili örüntuler ile cinsiyet tanima. / Cerkezi, Llukman; Topal, Cihan.
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4 (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018).

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

TY - GEN

T1 - Tekduze yerel ikili örüntuler ile cinsiyet tanima

AU - Cerkezi, Llukman

AU - Topal, Cihan

PY - 2018/7/5

Y1 - 2018/7/5

N2 - Automatic gender recognition has been applied in many areas such as analyzing the structure of demographic social environments. In this paper we present a gender recognition algorithm based on uniform local binary pattern (LBP). LBP has proven to be very efficient image descriptor in many pattern recognition applications. In feature extraction step of the proposed method, a well known variant of LBP, uniform local binary pattern is utilized. Before applying LBP the face detection and alignment tasks are performed respectively. By doing alignment, the overlapping of similar part of face has been achieved. Then, we combine local uniform LBP histograms to create the final feature vector. We show that in the experiments carried out in Feret face dataset that the proposed method can achieve up to 93.57% recognition rate.

AB - Automatic gender recognition has been applied in many areas such as analyzing the structure of demographic social environments. In this paper we present a gender recognition algorithm based on uniform local binary pattern (LBP). LBP has proven to be very efficient image descriptor in many pattern recognition applications. In feature extraction step of the proposed method, a well known variant of LBP, uniform local binary pattern is utilized. Before applying LBP the face detection and alignment tasks are performed respectively. By doing alignment, the overlapping of similar part of face has been achieved. Then, we combine local uniform LBP histograms to create the final feature vector. We show that in the experiments carried out in Feret face dataset that the proposed method can achieve up to 93.57% recognition rate.

KW - Face

KW - Gender recognition

KW - Local binary patterns

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DO - 10.1109/SIU.2018.8404587

M3 - Konferans katkısı

AN - SCOPUS:85050828544

T3 - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

SP - 1

EP - 4

BT - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

Y2 - 2 May 2018 through 5 May 2018

ER -

Tekduze yerel ikili örüntuler ile cinsiyet tanima

Abstract

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Conference

Bibliographical note

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