the barn owl, tyto alba (scopoli, 1769), occurs worldwide and shows a considerable amount of morphological and geographical variation, leading to the recognition of many subspecies around the world. yet comprehensive study on this species needs to be done. data from mitochondrial gene (cytb) with 620bp length is analyzed for 30 individuals around the world. maximum likelihood (ml), maximum pars...

the human facial recognition is the base for all facial processing systems. in this work a basicmethod is presented for the reduction of detection time in fixed image with different color levels.the proposed method is the simplest approach in face spatial localization, since it doesn’trequire the dynamics of images and information of the color of skin in image background. inaddition, to do face...

car license plate recognition is addressed in this paper. given the development of intelligent transportation systems, it is absolutely essential to implement a strong license plate recognition system. efforts were made to put forward a novel reliable method for car license plate recognition in iran. each license plate recognition system comprises three main parts. the first part is the license...

In this paper, a novel method is proposed for the Traffic Sign Recognition (TSR) using the Principle Component Analysis (PCA) and the Multi-Layer Perceptron (MLPs) network. In particular to the proposed morphological classification method, the candidate signs are individually detected from two chrome components of the YCbCr space and then classified into three shape classes: circle, square, and...

Morphological signatures are powerful descriptions of the image content which are based on the framework of mathematical morphology. These signatures can be computed on a global or local scale: they are called pattern spectra (or granulometries and antigranulometries) when measured on the complete images and morphological profiles when related to single pixels. Their goal is to measure shape di...

This paper compares the performance of four statistical classifiers, namely linear discriminant classifier, quadratic discriminant classifier, k-Nearest Neighborhood classifier, and parzen classifier are considered for recognition of 2D-shapes. The two features from morphological skeletons and four features from morphological shape decomposition are identified from 2D-shapes. These features are...

This paper describes a morphological component in a speech recognition system for German dealing with the construction of complex word form hypotheses out of a lattice of simplex forms. Our example is the recognition of compounds from their individual components. Evaluation results are presented for speech recognition with and without morphologically based word recognition. Dieser Aufsatz besch...

A novel method for face recognition using profile images based on the representation of the original and morphological derived profile shapes is presented in this paper. The goal of our approach is to use information from profile outline that bounds the face and the hair. A grey-level profile image is thresholded to produce a binary image, representing the face region. After normalising the are...

Considerable behavioral research has demonstrated that the visual word recognition system is sensitive to morphological structure. It has typically been assumed that analysis of morphologically complex words occurs only when the meaning of these words can be derived from the meanings of their constituents (e.g., hunter = hunt + er). However, results from recent behavioral research using the mas...