Skin detection based on contextual information
In this paper a skin detection method based on the two-dimensional histogram of color images is presented. First, from the statistical perspective, we select the discriminant features in the hope…
Category: IEEE Matlab Projects
A New Method for Land Cover Characterization and Classification of Polarimetric SAR Data Using Polarimetric Signatures
Conventional methods for analyzing polarimetric synthetic aperture RADAR (PolSAR) data such as scattering matrix show polarimetric information just in a restricted number of polarization bases, whereas backscattering of the targets…
Classification of processed hazelnuts with computer vision
Today’s, blanched or roasted hazelnuts are widely used in chocolate and biscuits industry. Partly skin removed hazelnuts kernels are caused to deterioration in flavor and taste of the chocolate. Many…
Separation of multiplicative image components by Bayesian Independent Component Analysis
The ability to decompose superimposed images to their basic components has a fundamental importance in machine vision applications. Segmentation Algorithms consider an image composed of several regions each with a…
Entropic One-Class Classifiers
The one-class classification problem is a well-known research endeavor in pattern recognition. The problem is also known under different names, such as outlier and novelty/anomaly detection. The core of the problem consists…
Improvement of palmprint coding techniques with feature descriptors
In recent years, biometric palmprint recognition system is one of the preferred research areas due to reach high accuracy even with the low resolution cameras. In recent studies conducted in this area,…
Face description and identification using histogram sequence of local binary pattern
Local detail features of face are important bases for recognizing different persons. For its invariant to monotonic gray-scale transformations and it’s a non-parametric kernel which summarizes the local special structure…
Domain Adaptation Extreme Learning Machines for Drift Compensation in E-Nose Systems
This paper addresses an important issue known as sensor drift, which exhibits a nonlinear dynamic property in electronic nose (E-nose), from the viewpoint of machine learning. Traditional methods for drift…
Dorsal hand vein recognition based on EP-tree
Vein recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In our framework, the minutiae features is extracted from the dorsal hand vein patterns for recognition,…
Marginal Consistency: Upper-Bounding Partition Functions over Commutative Semirings
Many inference tasks in pattern recognition and artificial intelligence lead to partition functions in which addition and multiplication are abstract binary operations forming a commutative semiring. By generalizing max-sum diffusion (one of convergent…