Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Algorithm


A Novel Algorithm To Detect and Extract The Texts of Road- Sign Plates in Video Scenes

Abdul Munem S. Rahma; Teaba Wala Aldeen Khairi

Engineering and Technology Journal, 2016, Volume 34, Issue 2, Pages 180-193

Traffic Road-Signs contain useful information for the road users; the operation of many of modern applications like the automatic or smart vehicle requires an automatic discrimination of the texts of the traffic road-sign. Discrimination of text compose of several stages, the first of these stages is detection and extraction of the texts. In this work, an algorithm is developed to detect, locate, and segment of the texts and the word in the video clips, that existing in the road signs in the city of Baghdad. The proposed approach includes two stages, the first one is processing the image to locate and extract images of the road-sign and neglect the rest of the image, and the second stage is processing the image of the road-sign plate to detect and extract the texts without symbols and shapes. The basic structure of the algorithm depends on the following functions: edge-detector, dilation, and filling-hole, morphological-opening. The total recall values of 89%, the total precision value of 93%.The algorithm is, then, tested based on video clips, implementation of the algorithm based on video clips confirms its ability to detect the texts which may appear in the video scenes, recall-rate(r) is excellent with a total value of 94.5% and a total precision value of 86.5%.The algorithm is tested to measure its validity to work under real-time operation, by processing one frame and exceed a set of next frames, the test appears that the algorithm is able to work under real-time operation with recall-rate(r) of(93%).

Optimal Design of Three-Phalanx Prosthesis Underactuated Fingers Using Genetic Algorithm

Sadeq H. Bakhy; Shaker S. Hassan; Somer M. Nacy; Alejandro Hernandez-Arieta; K. Dermitzakis

Engineering and Technology Journal, 2013, Volume 31, Issue 6, Pages 1045-1068

This research is interested to investigate the optimum design procedure for a finger driving mechanism to have a proper configuration of the finger for its utilization in hand prosthesis. To get this goal, a Genetic Algorithm (G.A) was used. Three criteria were selected to find the optimal solution. The most important of them was the percentage of the grasping stability. This criterion was evaluated as must type by using Kepner-tregos method. When the optimal solution was found, this one was modified to facilitate the fabrication of a prototype. The modifications consist of mostly rounding the parameters and uniforming the rollers dimensions. Those changes did not affect too much the forces characteristics. The prosthetic hand prototype was built of hard ABS (Acrylonitrile Butadiene Styrene) plastic using rapid prototyping. Testing results indicate that the proposed Genetic Algorithm gives reasonable -quality results in short computation time.

Classification of Images Using Decision Tree

Emad K. Jabbar; Mayada jabbar kelain

Engineering and Technology Journal, 2013, Volume 31, Issue 6, Pages 728-739

In this paper, the proposed system is based on texture features classification for multi object images by using decision tree (ID3) algorithm. The proposed system uses image segment tile base to reduce the block effect and uses (low low) Wavelet Haar to reduce image size without loss of any important information. The image texture features like (Entropy, Homogeneity, Energy, Inverse Different Moment (IDM), Contrast and Mean) are extracted from image to build database features. All the texture features extracted from the training images are coded into database features code. ID3 algorithm uses database features code for classification of images into different classes. Splitting rules for growing ID3 algorithm are Entropy, Information Gain used to build database rules, which depend on if_then format. The proposed algorithm is experimented on to test image database with 375 images for 5 classes and uses accuracy measure. In the experimental tests 88% of the images are correctly classified and the design of the proposed system in general is enough to allow other classes and extension of the set of classification classes.

HDNA : Heuristic DNA Computing Algorithm

Ahmed Tariq Sadiq; Hasanen Samir Abdullah

Engineering and Technology Journal, 2009, Volume 27, Issue 6, Pages 1064-1073

The proposed system is based on embedded the heuristic search in DNA search algorithm so to make it more efficient and flexible. The HDNA system is constructed to improve the work of the DNA computing algorithm and enhance the measurement criteria of it by reducing the run time and the memory capacity as well as the number of generated random solutions (strands or states) that are needed to implement the
computing algorithm. The experimental results appear that the HDNA using A* and Alpha-Beta is more efficient than using A* and Alpha-Beta each alone.