Tekduze yerel ikili örüntuler ile cinsiyet tanima

Llukman Cerkezi; Cihan Topal

doi:10.1109/SIU.2018.8404587

Tekduze yerel ikili örüntuler ile cinsiyet tanima

Llukman Cerkezi
, Cihan Topal

Anadolu University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

4 Atıf (Scopus)

Özet

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.

Tercüme edilen katkı başlığı	Gender recognition with uniform local binary patterns
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	1-4
Sayfa sayısı	4
ISBN (Elektronik)	9781538615010
DOI'lar	https://doi.org/10.1109/SIU.2018.8404587
Yayın durumu	Yayınlandı - 5 Tem 2018
Harici olarak yayınlandı	Evet
Etkinlik	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Türkiye Süre: 2 May 2018 → 5 May 2018

Yayın serisi

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

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Ülke/Bölge	Türkiye
Şehir	Izmir
Periyot	2/05/18 → 5/05/18

Bibliyografik not

Publisher Copyright:
© 2018 IEEE.

Keywords

Face
Gender recognition
Local binary patterns

Belgeye Erişim

10.1109/SIU.2018.8404587

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

@inproceedings{c7c6fe6a5be040d49cdff6ca81eaf52c,

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, Türkiye, 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).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

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

UR - https://www.scopus.com/pages/publications/85050828544

U2 - 10.1109/SIU.2018.8404587

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

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap