Social media allows people interact to express their thoughts or feelings about different subjects. However, some of users may write offensive twits to other via social media which known as cyber bullying. Successful prevention depends on automatically detecting malicious messages. Automatic detection of bullying in the text of social media by analyzing the text "twits" via one of the machine l...

The fabrication of micro-resonators, made from porous silica ridge waveguides by using an electrochemical etching method of silicon substrate followed by thermal oxidation and then by a standard photolithography process, is reported. The design and fabrication process are described including a study of waveguide dimensions that provide single mode propagation and calculation of the coupling rat...

State-of-the-art approaches to detecting ridge-like structures in images rely on filters designed to respond to locally linear intensity features. While these approaches may be optimal for ridges whose appearance is close to being ideal, their performance degrades quickly in the presence of structured noise that corrupts the image signal, potentially to the point where it truly does not conform...

This paper proposes a scheme for systematically estimating fingerprint ridge orientation and segmenting fingerprint image by means of evaluating the correctness of the ridge orientation based on neural network. The neural network is used to learn the correctness of the estimated orientation by gradient-based method. The trained network is able to distinguish correct and incorrect ridge orientat...

A fingerprint identification system is popular and important in biometric identification applications. Its process is composed of two stages: feature extraction and matching. Most fingerprint features include ending points and bifurcation called minutiaes. In this paper, we propose a new fingerprint binarization method based on convex threshold for effective minutiaes extraction. The proposed m...

We propose a two-dimensional (2-D) space-scale analysis of fringe patterns collected from a diffraction phase microscope based on the 2-D Morlet wavelet transform. We show that the adaptation of a ridge detection method with anisotropic 2-D Morlet mother wavelets is more efficient for analyzing cellular and high refractive index contrast objects than Fourier filtering methods since it can separ...

This paper presents a minutiae detection procedure based on adaptive tracing the gray-level ridge of the "ngerprint image with piecewise linear lines of di!erent length. The original "ngerprint image is smoothed with an adaptive-oriented smoothing "lter only at some selected points. This will greatly reduce the computational time. Each ridge in the skeleton is labeled with a number so that each...

This paper proposes a method for a subpixel accuracy detection of edges, ridges, and other curvilinear visual patterns, based on identification of their “extended color profiles”. These profiles accurately capture the image color in an orthogonal direction to the curve, in a range of a few pixels. It is well known that various types of “curvilinear visual patterns”, and not only edges and ridge...

We propose a Gabor-Alter-based method for fingerprint recognition in this paper. The method makes use of Gabor filtering technologies and need only to do the core point detection before the feature extraction process without any other pre-processing steps such as smoothing, binarization, thinning, and minutiae detection. The proposed Gabor-filter-based features play a central role in the proces...

A feature extraction method using the chaincode representation of fingerprint ridge contours is presented for use by Automatic Fingerprint Identification Systems. The representation allows efficient image quality enhancement and detection of fine feature points called minutiae. Enhancement is accomplished by binarization and smoothing followed by estimation of the ridge contours field of flow. ...