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MJEE-1

Majlesi Journal of Electrical Engineering

Editor-in-Chief: Farbod Razzazi, PhD

Online ISSN: 2345-3796

Print ISSN: 2345-377X

Publishes Quarterly

Original Article
Farsi Nastaligh Word Recognition by Using Artificial Neural Networks

This paper introduces a complete system for recognition of Farsi Nastaaligh handwritten words using Neural Networks. In preprocessing stage, after connected component specification, new algorithms are applied to find and eliminate ascenders, descenders, dots, and other secondary strokes from the original image. Then by using a segmentation algorithm based on analyzing upper and under contours, […]

Original Article
Pathological Vocal Folds Features extraction using a modified Active Contour Segmentation

This paper presents the study of vocal videostroboscopic videos to detect morphological pathologies using an active contour segmentation and objective measurements. The ad-hoc designed active contour algorithm permits to obtain a robust and fast segmentation using vocal folds images in RGB format. In this work, we have employed connected component analysis as a post-processing tool. […]

Original Article
Iris Recognition using a Novel Segmentation Method and Fuzzy ARTMAP Neural Network

A biometric system provides automatic identification of an individual based on unique features or characteristics possessed by that person. Iris recognition is regarded as one of the most reliable and accurate biometric systems available. This paper, proposes an efficient iris recognition system that employs a novel method to localize the iris region in the eye […]

Original Article
Multi-Dimensional Fuzzy C-Mean Considering Spatial Information for Brain MRI Segmentation

Due to artifacts, brain magnetic resonance image (MRI) segmentation is a complicated concern. This research work presents an image segmentation approach for brain magnetic resonance (MR) images. The proposed method is based on multi dimensional fuzzy C-mean. In this technique, different features of neighbouring pixels such as mean, standard deviation and singular value are extracted […]

Original Article
A 57-64 GHz High-gain Amplifier using Ultra-wideband Inductors in the IMNs and Optimization by PCA and SDSM

In this paper, the design and optimization of a cascaded common source four-stage millimeter wave amplifier in a 130 nm CMOS technology has been presented. First, Pi-shaped wideband impedance matching networks (IMNs) were used in the input / output impedance matching networks (IOIMNs) and inter-stages. Next, single stubs were converted to symmetrical double stubs in […]

Original Article
An Iterative Two-Step Method using Thresholding and SVM to Segment Bones from Knee Magnetic Resonance Images

Automatic and accurate bone segmentation has important medical applications. Thresholding-based segmentation is the most widely used method to segment the object of interest from the background. Although bone tissue is among the brightest tissues in MRI T2 images, bone has a similar intensity and comparable characteristics to particular other tissues, such as fat, which may […]