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

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

27 Citations (Scopus)

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.

Original language	English
Pages	I/293-I/296
Publication status	Published - 2002
Externally published	Yes
Event	International Conference on Image Processing (ICIP'02) - Rochester, NY, United States Duration: 22 Sept 2002 → 25 Sept 2002

Conference

Conference	International Conference on Image Processing (ICIP'02)
Country/Territory	United States
City	Rochester, NY
Period	22/09/02 → 25/09/02

Cite this

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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",

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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

Abstract

Conference

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