Performance Evaluation of Different Feature Extractors and Classifiers for Recognition of Human Faces with Low Resolution Images

Soodeh NİKAN; Majid AHMADİ

doi:https://doi.org/10.18201/ijisae.28949

Makale detayları

Performance Evaluation of Different Feature Extractors and Classifiers for Recognition of Human Faces with Low Resolution Images

Yazarlar:

Soodeh NİKAN | Majid AHMADİ

Yayıncı:

İsmail SARITAŞ

Dergi:

International Journal of Intelligent Systems and Applications in Engineering 2015 Vol.3 Issue 2, pp.72-77

Belge Tipi:

Makale

Yayın Tarihi:

3/2015

Belge Dili:

İngilizce

Document ID (Org No.):

2000817615

Sıklık:

Üç Aylık

eISSN:

2147-6799

DOI:

https://doi.org/10.18201/ijisae.28949

Özet:

 

Face recognition is an effective biometric identification technique used in many applications such as law enforcement, document validation and video surveillance. In this paper the effect of low resolution images which are captured in real world applications, on the performance of different feature extraction techniques combined with a variety of classification approaches is evaluated.  Gabor features and its combination with local phase quantization histogram (GLPQH) are dimensionality reduced by principal component analysis (PCA), linear discriminant analysis (LDA), locally sensitive discriminant analysis (LSDA) and neighbourhood preserving embedding (NPE) to extract discriminant image characteristics and the class label is attributed using the extreme learning machine (ELM), sparse classifier (SC), fuzzy nearest neighbour (FNN) or regularized discriminant classifier (RDC). ORL and AR databases are utilized and the results show that ELM and RDC have better performance and stability against resolution reduction, especially on Gabor-PCA and Gabor-LDA techniques. Among the interpolation approaches that we employed to enhance the image resolution, nearest neighbour outperforms other methods.

Makale detayları

Performance Evaluation of Different Feature Extractors and Classifiers for Recognition of Human Faces with Low Resolution Images

Yazarlar: Soodeh NİKAN | Majid AHMADİ

Yayıncı: İsmail SARITAŞ

Dergi: International Journal of Intelligent Systems and Applications in Engineering 2015 Vol.3 Issue 2, pp.72-77

Belge Tipi: Makale

Yayın Tarihi: 3/2015

Belge Dili: İngilizce

Document ID (Org No.): 2000817615

Sıklık: Üç Aylık

eISSN: 2147-6799

DOI: https://doi.org/10.18201/ijisae.28949

Sayı

Yazarlar:

Soodeh NİKAN | Majid AHMADİ

Yayıncı:

İsmail SARITAŞ

Dergi:

International Journal of Intelligent Systems and Applications in Engineering 2015 Vol.3 Issue 2, pp.72-77

Belge Tipi:

Makale

Yayın Tarihi:

3/2015

Belge Dili:

İngilizce

Document ID (Org No.):

2000817615

Sıklık:

Üç Aylık

eISSN:

2147-6799

DOI:

https://doi.org/10.18201/ijisae.28949