Add to ORKGAbstract — In this paper, multi-scale bandlet and local binary pattern (LBP) based method for gender recognition from faces is proposed. Bandlet is one of the multi-resolution techniques that can adapt the orientation of the edges of the face images, and thereby can better capture the texture of a face image. After extracting bandlet coefficients from face images at different scales, LBP is applied to create a histogram, which is used as the feature to a minimum distance classifier. The experiments are performed using FERET grayscale face database, and the highest accuracy of 99.13 % is obtained with the proposed method
LBP (Local Binary Pattern) is a commonly used operator to extract LBPH (LBP histogram) of an image f...
The human face is an important biometric Includes a great deal of useful information, such as gender...
Gender recognition has been seen as an interesting research area that plays important roles in many ...
Human face provides important visual information for gender perception. Ability to recognize a parti...
The face is one of the most important biometric features of humans, conveying race, identity, age, g...
Automatic Gender classification from faces has several applications such as surveillance, human com...
Automatic identification of male and female from facial image allows many useful applications in bio...
Abstract. In this paper, we present a novel approach to multi-view gender classification considering...
Abstract. Human perception of the face involves the observation of both coarse (global) and detailed...
100學年度許輝煌升等參考著作[[abstract]]We develop an approach for gender recognition based on human faces. We co...
Face recognition performance can be improved when face images are first classified into categories a...
In order to effectively utilize the facial features to improve the performance of the face detection...
In different biometric applications, gender recognition from facial images plays an important role i...
This paper presents a multiresolution approach for gender recognition based on Histogram of Oriented...
Abstract—This paper proposes a novel face representation approach, local Gabor binary mapping patter...
LBP (Local Binary Pattern) is a commonly used operator to extract LBPH (LBP histogram) of an image f...
The human face is an important biometric Includes a great deal of useful information, such as gender...
Gender recognition has been seen as an interesting research area that plays important roles in many ...
Human face provides important visual information for gender perception. Ability to recognize a parti...
The face is one of the most important biometric features of humans, conveying race, identity, age, g...
Automatic Gender classification from faces has several applications such as surveillance, human com...
Automatic identification of male and female from facial image allows many useful applications in bio...
Abstract. In this paper, we present a novel approach to multi-view gender classification considering...
Abstract. Human perception of the face involves the observation of both coarse (global) and detailed...
100學年度許輝煌升等參考著作[[abstract]]We develop an approach for gender recognition based on human faces. We co...
Face recognition performance can be improved when face images are first classified into categories a...
In order to effectively utilize the facial features to improve the performance of the face detection...
In different biometric applications, gender recognition from facial images plays an important role i...
This paper presents a multiresolution approach for gender recognition based on Histogram of Oriented...
Abstract—This paper proposes a novel face representation approach, local Gabor binary mapping patter...
LBP (Local Binary Pattern) is a commonly used operator to extract LBPH (LBP histogram) of an image f...
The human face is an important biometric Includes a great deal of useful information, such as gender...
Gender recognition has been seen as an interesting research area that plays important roles in many ...