Face recognition with Local Gradient Derivative Patterns

2010 ◽  
Author(s):  
Xianchun Zheng ◽  
S Kamata ◽  
Liang Yu
Keyword(s):  
Face Recognition ◽  
Local Gradient

Local Gradient Hexa Pattern: A Descriptor for Face Recognition and Retrieval

2018 ◽  
Vol 28 (1) ◽  
pp. 171-180 ◽  
Author(s):  
Soumendu Chakraborty ◽  
Satish Kumar Singh ◽  
Pavan Chakraborty
Keyword(s):  
Face Recognition ◽  
Local Gradient

scholarly journals Face Recognition Based on Local Gradient Number Pattern and Fuzzy Convex-Concave Partition

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 35777-35791
Author(s):  
Junding Sun ◽  
Yanan Lv ◽  
Chaosheng Tang ◽  
Haifeng Sima ◽  
Xiaosheng Wu
Keyword(s):  
Face Recognition ◽  
Number Pattern ◽  
Local Gradient

Illumination and Rotation Invariant Texture Representation for Face Recognition

2020 ◽  
Vol 10 (2) ◽  
pp. 58-69
Author(s):  
Medha Kudari ◽  
Shivashankar S. ◽  
Prakash S. Hiremath
Keyword(s):  
Face Recognition ◽  
Local Binary Pattern ◽  
Texture Features ◽  
Galois Field ◽  
Rotation Invariance ◽  
Invariance Property ◽  
Rotation Invariant ◽  
Texture Representation ◽  
Novel Approach ◽  
Local Gradient

This article presents a novel approach for illumination and rotation invariant texture representation for face recognition. A gradient transformation is used as illumination invariance property and a Galois Field for the rotation invariance property. The normalized cumulative histogram bin values of the Gradient Galois Field transformed image represent the illumination and rotation invariant texture features. These features are further used as face descriptors. Experimentations are performed on FERET and extended Cohn Kanade databases. The results show that the proposed method is better as compared to Rotation Invariant Local Binary Pattern, Log-polar transform and Sorted Local Gradient Pattern and is illumination and rotation invariant.

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