In pattern recognition, shape classification plays a very important role as it enables to gather shapes in different families, each family characterized by a set of common features such as elongation, symmetry, circularity and so on. In this context, we present a similarity parameter directly linked to the Asplund distance between shapes. This parameter estimates the degree of similarity betwee...

Human action recognition from a video scene has remained a challenging problem in the area of computer vision and pattern recognition. The development of the low-cost RGB depth camera (RGB-D) allows new opportunities to solve the problem of human action recognition. In this paper, we present a comprehensive review of recent approaches to human action recognition based on depth maps, skeleton jo...

Biomimetic pattern recognition (BPR) has been proposed for several years, but it has never been applied to iris recognition yet. In this paper, a new iris recognition method combined with BPR was proposed here. Experiments on the CASIA iris image database show that the iris recognition method based on BPR is reliable and efficient.

Data mining has emerged as one of the major research domain in the recent decades in order to extract implicit and useful knowledge. This knowledge can be comprehended by humans easily. Initially, this knowledge extraction was computed and evaluated manually using statistical techniques. Subsequently, semiautomated data mining techniques emerged because of the advancement in the technology. Suc...

Wherever we are, what we hear is mostly noise. When we ignore it, it disturbs us. When we listen to it, we find it fascinating. Liboschik und Kathrin Scheps für ihre Unterstützung und Ermutigung, die mir die Anferti-gung dieser Arbeit sehr erleichtert hat.

In this paper, the Correlation measure of Intuitionistic Fuzzy Multi sets (IFMS) is proposed. The concept of this Correlation measure of IFMS is the extension of Correlation measure of IFS. Using the Correlation of IFMS measure, the application of medical diagnosis and pattern recognition are presented. The new method also shows that the correlation measure of any two IFMS equals one if and onl...

Recognizing and foreseeing which credit clients will be "good or bad payers" is an important and di cult task for bank institutions and credit protection services. Using data from approximately 10,000 clients obtained from a large private Brazilian bank, we present a methodology to perform the credit scoring analysis. The methodology proposed is divided into 2 stages: statistical data analysis ...