We present a descriptor for human face objects in visual content. The descriptor enables similaritybased retrieval using a face image as the query. The descriptor for a set of face objects consists of three components: a face subspace that is computed using principal component analysis, a discriminant matrix that classifies the set of faces, and a collection of face vectors with each vector cor...

Image descriptor performs two major tasks of the extracting algorithm. One is to encode image into feature vectors and the other is to measure for comparing a query image and the images in database. This paper proposes a new efficient image descriptor that uses the color feature based on wavelet color-spatial information of an image. In order to evaluate the proposed descriptor, we perform the ...

© 2013 Woo-han Yun et al. 1021 http://dx.doi.org/10.4218/etrij.13.2013.0054 Automatic facial expression recognition is a widely studied problem in computer vision and human-robot interaction. There has been a range of studies for representing facial descriptors for facial expression recognition. Some prominent descriptors were presented in the first facial expression recognition and analysis ch...

The system gender classification from face images based on textural analysis and an artificial neural network. Face granulation process is applied for input faces for slices representation using Difference of gaussian approach. Here Weber’s Local Descriptor is used for gender recognition. Here this local descriptor extends it by introducing local spatial information through divide an image into...

In this paper, we proposed a rotation invariant image descriptor based on Radon transform (RT) and energy operator. Radon transform captures the directional features of the pattern image by projecting the pattern onto different orientation slices, and its most attractive ability is to transform rotational components to circular shift components. Meanwhile, the energy operator can remove the cir...

Indian sign language (ISL) is the main communication medium among deaf Indians. An ISL vocabulary show that the hand plays a significant role in ISL. ISL includes static and dynamic hand gesture recognition. The main aim of this paper is to present multi-feature static hand gesture recognition for alphabets and numbers. Here, comparative analysis of various feature descriptors such as chain cod...

The font evolution with various types is a great impact on a recognition performance of optical character recognition (OCR) systems. The more diversity of fonts leads to the less accuracy of recognition rate, particularly Thai-fonts. In order to overcome this obstacle, this paper proposes a font descriptor for printed Thai-character recognition. The role of such a descriptor is a representative...

Subspace learning based pattern recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Independent Component Analysis (ICA), Linear Discriminant Analysis (LDA), and some extensions for 2D analysis. However, a disadvantage of all these approaches is that they perform subspace analysis directly on the reshaped vector or matrix of p...

Automated data analysis and pattern recognition techniques are the requirements of biological and proteomicsresearch studies. The analysis of proteins consists of some stages among which the analysis of two dimensionalelectrophoresis (2-DE) images is crucial. The aim of image capturing is to generate a Photostat that can be used infuture works such as image comparison. The researchers introduce...

Subspace learning based pattern recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Independent Component Analysis (ICA), Linear Discriminant Analysis (LDA), and some extensions for 2D analysis. However, a disadvantage of all these approaches is that they perform subspace analysis directly on the reshaped vector or matrix of p...