This paper is based on a combination of the principal component analysis (PCA), eigenface and support vector machines. Using N-fold method and with respect to the value of N, any person’s face images are divided into two sections. As a result, vectors of training features and test features are obtain ed. Classification precision and accuracy was examined with three different types of kernel and...

In this paper, we explore the use of local feature histograms for view-based recognition of free-form objects from range images. Our approach uses a set of local features that are easy to calculate and robust to partial occlusions. By combining them in a multidimensional histogram, we can obtain highly discriminative classi ers without having to solve a segmentation problem. The system achieves...

A visual system not only needs to recognize a stimulus, it also needs to find the location of the stimulus. In this paper, we present a neural network model that is able to generalize its ability to identify objects to new locations in its visual field. The model consists of a feedforward network for object identification and a feedback network for object location. The feedforward network first...

In this paper, we present a method for fast and robust object recognition, especially developed for implementation on an embedded platform. As an example, the method is applied to the automatic sorting of consumer waste. Out of a stream of different thrown-away food packages, specific items — in this case beverage cartons — can be visually recognised and sorted out. To facilitate and optimise t...

After 9/11 tragedy, governments in all over the world started to look more seriously to the levels of security they have at their airports and borders. Countries annual budgets were increased drastically to have the most recent technologies in identification, recognition and tracking of suspects. The demand growth on these applications helped researchers to be able to fund their research projec...

This article reviews a method of histograms based on descriptors of SIFT and SURF and their application in Recognition of three-dimensional object recognition from various view. This method will be provided for Recognition of objects in a set of three-dimensional objects and images of ETH80 databases to assess the effectiveness of methods used in determining the threedimensional objects. Finall...

Biometric recognition is an automatic identification method which is based on unique features or characteristics possessed by human beings and Iris recognition has proved itself as one of the most reliable biometric methods available owing to the accuracy provided by its unique epigenetic patterns. The main steps in any iris recognition system are image acquisition, iris segmentation, iris norm...