Print ISSN: 1812-125X

Online ISSN: 2664-2530

Main Subjects : Image processing


A Suggested System For Palmprint Recognition Using Curvelet Transform And Co-Occurrence Matrix.

meaad mohammed alhadidi

Journal of Education and Science, 2021, Volume 30, Issue 5, Pages 65-76
DOI: 10.33899/edusj.2021.130870.1176

The main purpose of this paper is to create a palmprint recognition system (PPRS) that uses the curvelet transform and co-occurrence matrix to recognize a hand's palmprint.
The suggested system is composed of several stages: in the first stage, the region of interest (ROI) was taken from a palmprint image, then in the second stage, the curvelet transform was applied to the (ROI) to get a blurred version of the image, and finally, unsharp masking process and sobel filtering were done for edge detection. The third stage involves feature extraction using a co-occurrence matrix to obtain 16 features, while the fourth stage inclusion is the training and testing of the suggested approach. The algorithm ACO (ant colony optimization) has been adopted to evaluate the shortest path to the goal.
CASIA PalmprintV dataset of 100 people (60 male and 40 female) was used in proposed work to rate the performance of the proposed system. ARR and EER metrics have been adopted to assess the performance of the proposed system.
The experimental results showed a very high recognition rate (ARR) that reaches 100% for the right hand of a male and the left hand of a female. The overall accuracy rate (ARR) reaches 98.5% and EER equals 0.015.

Significance of Enhancement Technique In Segmentation of Image and Signal: A Review of the literature

ghada mohammad tahir mohammad tahir kasim; Ashraf AL thanoon; Haleema Solayman

Journal of Education and Science, 2021, Volume 30, Issue 4, Pages 15-27
DOI: 10.33899/edusj.2021.129161.1134

Significance of Enhancement Technique In Segmentation of Image and Signal: A Review of the literature

Abstract:
From the last 70 years, there is continuous development in the field of digital image processing such as geology, biology as well as in medical fields. Solving many problems in the case of numerous application image processing plays an important role. Recently, wireless communication has been a dominant medium. When a signal or image is transmitted via the wireless environment, the quality of the image or signal gets degraded. It is the biggest issue. This happens because of acquisition and color space conversion. Hence, priority is given to enhance the quality of the image or signal. Enhancement is the process responsible to enhance the quality of the signal. In this paper, we focused on various enhancement techniques for image and signal enhancement. Furthermore, this study put down the result for various enhancement techniques for improvement in the image. Theoretically, the signal enhancement was discussed shortly.

Image Fusion by Shift Invariant Discrete Wavelet Transform for Remote Sensing Applications

Abdalrahman Ramzi Qubaa

Journal of Education and Science, 2021, Volume 30, Issue 2, Pages 53-66
DOI: 10.33899/edusj.2020.128261.1109

The fusion technique of the spectral bands captured by the sensors carried onboard satellites is one digital processing method for extracting information and detecting ground targets. Image fusion - also known as pan-sharpening-provides the necessary means to combine many images into a single composite image that is suitable in visual interpretation processes or in digital interpretation. The principal objective of this study is to find the best suitable algorithms for obtaining integrative information from several separate images in one combined image. Based on the above, a special software system was designed to implement and test the fusion methods used in remote sensing applications by selecting and applying a Shift Invariant Wavelet Transform (SIWT) method to the remote sensing images and then comparing with four other different image fusion algorithms. Two objective mathematical methods were also used to measure the amount of shared information obtained in the images resulting from the fusion, as well as using the visual and Near-Infrared images of the new Sentinel-2 European satellite for a part of Nineveh province as experimental images. The results showed a preference of the wavelet transform method over the other fusion methods for the remote sensing images.

AEPRD: An Enhanced Algorithm for Predicting Results of Orthodontic Operations

Ammar Thaher Yaseen Al Abd Alazeez Thaher Al Abd Alazeez

Journal of Education and Science, 2021, Volume 30, Issue 1, Pages 173-190
DOI: 10.33899/edusj.2020.127785.1094

The face is the most critical component which is clear on first sight for an individual. Delicate tissue of the face alongside the fundamental dentoskeletal tissues portrays the facial attributes of a person. Social affirmation, mental well-being, and self-esteem of an individual are related to physical appearance. Strikingly, facial properties are regularly packed in profile. Orthodontic assurance and treatment orchestrating are continuously being established on profiles rather than basically on Angle's concept of molar relationship. It was seen that particular skeletal exact guidelines, proportion of constitution of the delicate tissue, and facial solid position can affect the assessment of the profile.
One of the uncommon challenges in orthodontics is the treatment orchestrating and the leading body of orthognathic careful cases. These cases require a mix of both orthodontics and orthognathic medical procedure to accomplish an even impediment, appropriate function, and agreeable facial feel. Early analyze of malocclusion is exceptionally helpful to get legitimate teeth straight. Thusly, in this paper we built up a straightforward PC supported program that could help foreseeing teeth impediment. In other word, we take an image of individual and order it into one of the three primary types Class I, Class II, and Class III and predict the after all treatments of Class II and Class III. This study gives information which can be used in treatment orchestrating by authorities, for instance, orthodontists, prosthodontists, plastic specialists, and maxillofacial experts, who have the ability to change the delicate tissue facial highlights.