Palmprint recognition is a new biometrics system based on physiological characteristics of the palmprint, which includes rich, stable, and unique features such as lines, points, and texture. Texture is one of the most important features extracted from low resolution images. In this paper, a new local descriptor, Local Composition Derivative Pattern (LCDP) is proposed to extract smartly stronger...

Distributing a packet of data from a source processor to all processors in a parallel computer is a fundamental operation. The efficiency of this operation depends on the configuration of the processors. We show that the sets of architectures A allowing efficient distribution for coarse grained multicomputers include those satisfying the hypothesis that there exists a constant cA such that ever...

Optical Character Recognition (OCR) is an area of research that has attracted the interest of researchers for the past forty years. Although the subject has been the center topic for many researchers for years, it remains one of the most challenging and exciting areas in pattern recognition. Because of the cursive nature of Persian language, recognition of its characters is more difficult than ...

spatial pattern of trees is an important characteristic of plant communities. generating hypotheses relating to the structure of ecological communities is the aim of spatial pattern recognition. stands spatial patterns are measured and mapped by measuring tree locations in the stand and entering each coordinates into analytical frameworks. the spatial pattern of plant populations observed at an...

This paper describes a multimodal approach for speaker veri cation The system consists of two classi ers one using visual features and the other using acoustic features A lip tracker is used to extract visual information from the speaking face which provides shape and intensity features We describe an approach for normalizing and mapping di erent modalities onto a common con dence interval We a...