Add to ORKGAbstract — Textures play an important role in recognition of images. This paper investigates the efficiency of performance of three texture based feature extraction methods for face recognition. The methods for comparative study are Grey Leve
Depth and texture play complementary roles in the coding of faces. While most existing face recognit...
Face recognition technology has rapidly evolved and become more popular in recent years. It is being...
Texture analysis is devised to address the weakness of color-based image segmentation models by cons...
Abstract — Textures play an important role in recognition of images. This paper investigates the eff...
Face recognition is one of the most active research areas in computer vision and pattern recognition...
In this paper, improved and fully automatic face detection and facial feature extraction algorithms ...
International audiencePattern recognition and computer vision fields experienced the proposal of sev...
Face recognition system has come to a wide area drawing attention for researchers since a long perio...
This paper investigates the possibility of exploiting facial skin texture as a source of biometric i...
Face recognition has been deployed in a wide range of important applications including surveillance ...
Face recognition is a technology that automatically identifies or verifies a person from a digital i...
The ability to recognize human faces is a demonstration of incredible human intelligence. Over the l...
The pixels of an image are grouped into several regions for segmentation. In segmentation technique ...
Abstract: The object is detected, track and it is an important in computer vision type which also in...
This paper describes a comparative study of texture features, with particular emphasis on the applic...
Depth and texture play complementary roles in the coding of faces. While most existing face recognit...
Face recognition technology has rapidly evolved and become more popular in recent years. It is being...
Texture analysis is devised to address the weakness of color-based image segmentation models by cons...
Abstract — Textures play an important role in recognition of images. This paper investigates the eff...
Face recognition is one of the most active research areas in computer vision and pattern recognition...
In this paper, improved and fully automatic face detection and facial feature extraction algorithms ...
International audiencePattern recognition and computer vision fields experienced the proposal of sev...
Face recognition system has come to a wide area drawing attention for researchers since a long perio...
This paper investigates the possibility of exploiting facial skin texture as a source of biometric i...
Face recognition has been deployed in a wide range of important applications including surveillance ...
Face recognition is a technology that automatically identifies or verifies a person from a digital i...
The ability to recognize human faces is a demonstration of incredible human intelligence. Over the l...
The pixels of an image are grouped into several regions for segmentation. In segmentation technique ...
Abstract: The object is detected, track and it is an important in computer vision type which also in...
This paper describes a comparative study of texture features, with particular emphasis on the applic...
Depth and texture play complementary roles in the coding of faces. While most existing face recognit...
Face recognition technology has rapidly evolved and become more popular in recent years. It is being...
Texture analysis is devised to address the weakness of color-based image segmentation models by cons...