Occluded face recognition based on Gabor wavelets

Burcu Kepenekci; F. Boray Tek; Gozde Bozdagi Akar

Occluded face recognition based on Gabor wavelets

Burcu Kepenekci^*, F. Boray Tek, Gozde Bozdagi Akar

^*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: ???type-name??? › Yazı › bilirkişi

27 Atıf (Scopus)

Özet

A new feature based approach to frontal face recognition with Gabor wavelets is presented in this paper. The feature points are automatically extracted using the local characteristics of each individual face in order to decrease the effect of occluded features. There is no training as in neural network approaches, thus single frontal face for each individual is enough as reference. Experimental results show that the proposed method achieves a recognition ratio of over %95.

Orijinal dil	İngilizce
Sayfalar	I/293-I/296
Yayın durumu	Yayınlandı - 2002
Harici olarak yayınlandı	Evet
Etkinlik	International Conference on Image Processing (ICIP'02) - Rochester, NY, United States Süre: 22 Eyl 2002 → 25 Eyl 2002

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

???event.eventtypes.event.conference???	International Conference on Image Processing (ICIP'02)
Ülke/Bölge	United States
Şehir	Rochester, NY
Periyot	22/09/02 → 25/09/02

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

@conference{54fa6b5598934c1f8773d0b62352298e,

title = "Occluded face recognition based on Gabor wavelets",

abstract = "A new feature based approach to frontal face recognition with Gabor wavelets is presented in this paper. The feature points are automatically extracted using the local characteristics of each individual face in order to decrease the effect of occluded features. There is no training as in neural network approaches, thus single frontal face for each individual is enough as reference. Experimental results show that the proposed method achieves a recognition ratio of over %95.",

author = "Burcu Kepenekci and Tek, {F. Boray} and Akar, {Gozde Bozdagi}",

year = "2002",

language = "English",

pages = "I/293--I/296",

note = "International Conference on Image Processing (ICIP'02) ; Conference date: 22-09-2002 Through 25-09-2002",

}

TY - CONF

T1 - Occluded face recognition based on Gabor wavelets

AU - Kepenekci, Burcu

AU - Tek, F. Boray

AU - Akar, Gozde Bozdagi

PY - 2002

Y1 - 2002

N2 - A new feature based approach to frontal face recognition with Gabor wavelets is presented in this paper. The feature points are automatically extracted using the local characteristics of each individual face in order to decrease the effect of occluded features. There is no training as in neural network approaches, thus single frontal face for each individual is enough as reference. Experimental results show that the proposed method achieves a recognition ratio of over %95.

AB - A new feature based approach to frontal face recognition with Gabor wavelets is presented in this paper. The feature points are automatically extracted using the local characteristics of each individual face in order to decrease the effect of occluded features. There is no training as in neural network approaches, thus single frontal face for each individual is enough as reference. Experimental results show that the proposed method achieves a recognition ratio of over %95.

UR - http://www.scopus.com/inward/record.url?scp=0036453633&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0036453633

SP - I/293-I/296

T2 - International Conference on Image Processing (ICIP'02)

Y2 - 22 September 2002 through 25 September 2002

ER -

Occluded face recognition based on Gabor wavelets

Özet

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

Diğer Dosyalar ve Linkler

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