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Article
Human Authentication with Earprint for Secure Telephone System

Author: Raid R. Al-Nima*
Journal: IRAQI JOURNAL OF COMPUTERS,COMMUNICATION AND CONTROL & SYSTEMS ENGINEERING المجلة العراقية لهندسة الحاسبات والاتصالات والسيطرة والنظم ISSN: 18119212 Year: 2012 Volume: 12 Issue: 2 Pages: 47-55
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

Abstract: This paper describes the design and development of a prototype system for the automatic authentication of an individual based on the human ear patterns. Information at the feature extraction and at the confidence level, where the matching scores are reported by Probabilistic neural network, is discussed. The system was tested with the template files. The test performance reaching False Rejection Rate (FRR) = 9% and False Acceptance Rate (FAR) = 9%, suggests that the system can be used in telephone security environments.


Article
Cuneiform Tablets Image Preprocessing Proposed Algorithms Techniques for Pattern Recognition

Authors: Muhsen J. Abdul Hussien --- Abdual Munim S. Rahma --- Ali Adel Saeid
Journal: Iraqi Journal of Science المجلة العراقية للعلوم ISSN: 00672904/23121637 Year: 2018 Volume: 59 Issue: 3A Pages: 1326-1338
Publisher: Baghdad University جامعة بغداد

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Abstract

Cuneiform symbols recognition represents a complicated task in pattern recognition and image analysis as a result of problems that related to cuneiform symbols like distortion and unwanted objects that associated with applying Binrizetion process like spots and writing lines. This paper aims to present new proposed algorithms to solve these problems for reaching uniform results about cuneiform symbols recognition that related to (select appropriate Binerized method, erased writing lines and spots) based on statistical Skewness measure, image morphology and distance transform concepts. The experiment results show that our proposed algorithms have excellent result and can be adopted as a preprocessing technique.


Article
Face Recognition Approach Based on the Integration of Image Preprocessing, CMLABP and PCA Methods

Author: Yaqeen S. Mezaal
Journal: Iraqi Journal for Electrical And Electronic Engineering المجلة العراقية للهندسة الكهربائية والالكترونية ISSN: 18145892 Year: 2017 Volume: 13 Issue: 1 Pages: 104-113
Publisher: Basrah University جامعة البصرة

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Abstract

Face recognition technique is an automatic approach for recognizing a person from digital images using mathematical interpolation as matrices for these images. It can be adopted to realize facial appearance in the situations of different poses, facial expressions, ageing and other changes. This paper presents efficient face recognition model based on the integration of image preprocessing, Co-occurrence Matrix of Local Average Binary Pattern (CMLABP) and Principle Component Analysis (PCA) methods respectively. The proposed model can be used to compare the input image with existing database images in order to display or record the citizen information such as name, surname, birth date, etc. The recognition rate of the model is better than 99%. Accordingly, the proposed face recognition system is functional for criminal investigations. Furthermore, it has been compared with other reported works in the literature using diverse databases and training images

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