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Article
Geometric Face Recognition ApproachBased on Neural Network

Author: Kadhem Mahdi Hashem
Journal: Journal of Education for Pure Science مجلة التربية للعلوم الصرفة ISSN: 20736592 Year: 2012 Volume: 2 Issue: 3 Pages: 58-64
Publisher: Thi-Qar University جامعة ذي قار

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Abstract

In this paper, we present a technique to recognize a query person whose human face image is given w.r.t. a specified database. The main idea of our approach is to use the most important geometric feature positions on the half face image. We construct vector of measures between chosen essential features points of the face such as eyes, nose, chin, mouth, face boundaries and so on, and then reduced to vector of measures. The information taken from frontal view images, yet profile view face images are with small rotation degree to different directions. We used the ANN technique to determine whether or not the query person is recognized. We applied 64 human face images taken from the ORL database and 160 real human face images concerned some Iraqi persons. The recognition results show that the recognition rate is 100% for images taken from both databases.


Article
Feature-Based Face Detection: A Survey

Authors: Abbas M. Albakri --- Safaa O. Almamory --- Hadeel H. Alfartosy
Journal: Iraqi Journal for Computers and Informatics ijci المجلة العراقية للحاسبات والمعلوماتية ISSN: 2313190X 25204912 Year: 2018 Volume: 44 Issue: 1 Pages: 20-26
Publisher: University Of Informatics Technology And Communications جامعة تكنولوجيا المعلومات و الاتصالات

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Abstract

Human and computer vision has a vital role in intelligent interaction with computer, face recognition is one of the subjects that have a wide area in researches, a big effort has been exerted in last decades for face recognition, face detection, face tracking, as yet new algorithms for building fully automated system are required, these algorithms should be robust and efficient. The first step of any face recognition system is face detection, the goal of face detection is the extraction of face region within image, taking into consideration lightning, orientation and pose variation, whenever this step accurate the result of face recognition will be better, this paper introduce a survey of techniques and methods of feature based face detection.


Article
Experience with red face syndrome: A descriptive case-series study of 102 Iraqi patients

Author: Usama Abdul-Jaleel Althuwayni
Journal: Karbala Journal of Medicine مجلة كربلاء الطبية ISSN: 19905483 Year: 2014 Volume: 7 Issue: 2 Pages: 1919-1922
Publisher: Kerbala University جامعة كربلاء

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Abstract

background: Red face syndrome (RFS) is a chronic burning erythema of the face that occurs after prolonged application of topical corticosteroid (CS) and characterized by flare-ups after trial of corticosteroid withdrawal.Objective: This study was aimed at providing information on a series of 102 cases of RFS in Al-Diwaniya city, IraqMethods : In this descriptive case series study, 102 patients were identified as having red face syndrome by a dermatologist in Al-Diwanyia Teaching Hospital, Al-Diwaniya , Iraq , from September 2013 to March 2014Results : 102 patients were studied ,their ages ranged from (18-45) . There were 97 females and 5 males .Melasma , skin whitening were the main reasons for topical CS use. The presenting complaints were erythema (96.07% ),dryness(69.6 % ), itching (60.7 % ), burning sensation (61.7% ).Discussion :Red face syndrome is a form of "corticosteroid addiction" mediated by nitric oxide overproduction in response to long term topical corticosteroid use.The mean age of the patients rangeing 18-45 years old. This was probably because people, at this age, start to take care of their appearance. The main reason of using topical corticosteroids was melasma as the topical corticosteroids act as skin lightener owing to their potent bleaching effect. Also this explains the predominance of females in this study which may satisfy their desire. In fact, its recovery usually takes a much longer period of time reaching up to 18 months after stoppage of steroidsConclusion : RFS is a disease of steroid misuse by patients especially for melasma and skin whitening and it is seen increasingly. Public health information is important about this disease and other side effects of topical CS

Keywords

Iraq --- red face syndrome


Article
ANTHROPOMETRIC FACE IN BASRAH

Authors: Nada H Al-jassim --- Zuhair F Fathallah --- Nawal M Abdullah
Journal: Basrah Journal of Surgery مجلة البصرة الجراحية ISSN: 16833589 / ONLINE 2409501X Year: 2014 Volume: 20 Issue: 2 Pages: 29-40
Publisher: Basrah University جامعة البصرة

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Abstract

ANTHROPOMETRIC FACE IN BASRAHNada H Al-jassim , Zuhair F Fathallah & Nawal M AbdullahMB,ChB, DGO.Anatomy.Abstract Anthropometry is the systematic quantitative representation of the human body, it is used to measure the absolute and relative variability in size and shape of the human body. Over thecenturies, there have been remarkable changes in anthropometric measurements due to geographical, cultural, genetic and environmental factors. The studying of human face and theassessment of facial dimensions attract the attention of the artists, poets and scientists and takes a prime importance in medical and dental fields in both diagnosis and treatment planning.Anthropometry also used for the design of clothing and equipment, e.g. Gas masks, oxygen masks, dust masks and respirators as well as design of military and industrial helmets. Therehad been no studies done on facial measurement in Basrah therefore, this study is to be considered as the first in this field and the baseline for further studies. This study had attemptedto quantitatively measure the human face in different ethnic groups of the local population and to identify the differences between individuals of different races and sexes, also to identify the differences between the people of Basrah and other people worldwide. These differences whichare responsible for the special facial features in different ethnic groups should be maintained during reconstructive or aesthetic surgery otherwise the patients will lose their ethnic features. The people of Basrah have different racial and ethnic background, there are Semites which are the Arabs and Syrian (Assyrian & Chaldean), Arian, who are the Armenian, Kurdish andPersian, and then there is the mixed group result from interracial marriages. This study is a cross sectional study with a comparative component conducted in Basrah governorate. The data was randomly collected from volunteers, for the period from February toJuly 2013. Raw data used in this study was originated from a total number of 1000 Iraqi adults (526 females and 474 males) living throughout Basrah governorate and were used to create adatabase for statistical analysis. The result of this study shows that there are differences between the races and between the local people and the surrounding countries and indeed there is a great difference from thestandard measurement advocated by western researchers. Introductionhe human face is a living mirror heldTout to the world, it has the power to common expression is “I may forget aname, but I’d never forget a face’ Anthropometryquantitative representation of the humanindividualunderstanding human physical variations . Overremarkablemeasurementscultural,Bas J Surg, December, 20, 2014Original ArticleMEASUREMENTSOFHUMANMB,ChB, MSc, Assist. Prof. Plastic Surgeon. MB,ChB, MSc, Assist.Prof. o


Article
Effect Of Eigenfaces Level On The Face Recognition Rate Using Principal Component Analysis
تأثيرمستويات الايكنفيس على معدل تمييز الوجوه باستخدام تحليل المكون الاساسي

Author: Eyad. I. Abbas
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2015 Volume: 33 Issue: 3 Part (A) Engineering Pages: 729-737
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

This paper presents an approach to study the effect of the different eigenfaces levels on the faces recognition rate using principal component analysis. The increase in the strength of the variables and the lighting in the facial geometry to represent the human face , has been using the principal component analysis (PCA) on the image of the whole face . The principal component analysis is a statistical measurement method , which works in the field of linear and can be used to reduce the dimensions of the image and thus serve to reduce the calculations significantly to the image database . It is a method gives better accuracy and a higher rate of recognition . The experiment was conducted on 50 images from the database of faces (ORL), using 40 images for the training set and 15 images for the test group ( five images in common with the training set and the remaining 10 images are different in expression and corner ) . The results proved that the proposed method is effective and successful in obtaining recognition rate up to 100% in the third level when using ten eigenfaces.

يقدم هذه البحث مدخلا لدراسة تأثير مستويات مختلفة من الايكنفيسس على معدل تمييز الوجوه. ان زيادة متانة المتغيرات والاضائة في هندسة الوجه لتمثيل الوجه الإنساني ، تم باستخدام تحليل المكون الاساسي(PCA) على صورة الوجه كله . ان تحليل المكون الاساسي هو أسلوب للقياس الإحصائي ، والذي يعمل في مجال الخطية ، والذي يمكن استخدامه لتقليل من أبعاد الصورة وبالتالي يعمل على تقليل العمليات الحسابية بشكل ملحوظ لقاعدة بيانات الصور. وهذهالطريقة تعطي دقة أفضل ومعدل التمييز اعلى . تم إجراء التجربة على 50 صورة منقاعدة البيانات للوجوه (ORL) ، وذلك باستخدام 40 صور لمجموعة التدريب و 15 صورة لمجموعة الاختبار ( خمس صور مشتركة مع مجموعة التدريب و 10 صور المتبقية هي مختلفة في التعبير والزاوية ) . اثنتت النتائج أن الطريقة المقترحة هي فعالة وناجحة في الحصول على معدل للتمييز تصل الى نسبة 100٪ في المستوى الثالث عند استخدام عشرة من الايكنفيسس .

Keywords

Face recognition --- PCA --- Eigenfaces


Article
The Design of Efficient Algorithm for Face Recognition Based on Hybrid PCA-Wavelet Transform
تصميم خوارزمية تتسم بالكفاءة للتعرف على الوجوه بالاعتماد على طريقة هجينة لطريقة تحليل المكونات الاساسية و تحويلة المويجات

Authors: Matheel E. Abdulmunem مثيل عماد الدين عبد المنعم --- Fatima B. Ibrahim فاطمة بهجت ابراهيم
Journal: Iraqi Journal of Science المجلة العراقية للعلوم ISSN: 00672904/23121637 Year: 2016 Volume: 57 Issue: 2A Pages: 995-1006
Publisher: Baghdad University جامعة بغداد

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Abstract

In modern times face recognition is one of the vital sides for computer vision. This is due to many reasons involving availability and accessibility of technologies and commercial applications. Face recognition in a brief statement is robotically recognizing a person from an image or video frame. In this paper, an efficient face recognition algorithm is proposed based on the benefit of wavelet decomposition to extract the most important and distractive features for the face and Eigen face method to classify faces according to the minimum distance with feature vectors. Faces94 data base is used to test the method. An excellent recognition with minimum computation time is obtained with accuracy reaches to 100% and recognition time decreases to 87.5%.

في الوقت الحاضر تميز الوجوه يعتبر احد الجوانب الحيوية في رؤى الكمبيوتر وذلك يرجع الى عدة اسباب منها تواجد التكنلوجيا و التطبيقات التجارية و سهولة الوصول اليها و استعمالها. باختصار تميز الوجوه يميز الشخص تلقائيا من صورة او مقطع فيدو. في هذا البحث أُقترح خوارزمية كفؤة لتميز الوجوه معتمدة على الاستفادة من خواص تحليل المويجات بإستخلاص اهم الصفات المميزة للوجه و طريقة القيم الذاتية للوجه و تصنيف الوجوه حسب أقل مسافة مع متجهات الصفات المميزة. قاعدة البيانات العامة (Faces94 ) قد استعملت لإختبار الخوارزمية و تم الحصول على نتائج تميز ممتازة بأقل وقت حسابات حيث وصلت الدقة الى 100% بينما قل الوقت ال 87.5 %.

Keywords

Face Recognition --- PCA --- DWT.


Article
Incidence of facial soft tissue injuries among patients attending surgical casualty reception in Rojh-halat emergency hospital
حدوث إصابات في الأنسجة الرخوة في الوجه بين المرضى الذين يراجعون استقبال الحالات الجراحية في مستشفى الطوارئ روزهلات

Authors: Omed I. Shihab --- jalal Hamasalih Fattah --- Rasool Hamed Awlla
Journal: Zanco Journal of Medical Sciences مجلة زانكو للعلوم الطبية ISSN: 19955588/19955596 Year: 2013 Volume: 17 Issue: 1 Pages: 300-304
Publisher: Hawler Medical Univeristy جامعة هولير الطبية

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Abstract

Background and objective: Facial soft-tissue injuries are the most common injuries presenting to surgical causality reception. The present study aimed to provide a preliminary data base about the distribution, type, pattern and etiology of facial soft tissue injuries. Methods: In a prospective clinical study all patients with facial injury were enrolled in this study, over a ten months period (from 1st October 2010- 1st July 2011), who attended Surgical Casualty Reception in Rojh-halat Emergency Hospital. A questionnaire was used to collect patients’ database and relevant information. The wound configuration was divided as laceration, abrasion and contusion as well as the site of facial soft tissue injuries were recorded using the modified MCFONTZL system. Results: A total of 168 patients with facial soft tissue injuries were received and managed at Surgical Casualty Reception in Rojh-halat Emergency Hospital. The age of the patients were ranged from 1-80 years old. Most of the patients were within the age range of 1-10. Male patients constitute 62.5% of the cases. The most common etiology of facial soft tissue injury was falls. Regarding type of the injury, laceration was the most common type. The lips and chin region were mostly involved. Conclusion: Fall is the most common cause of facial injury. Lower third of the face is mostly involved. road traffic legislations have a role in decreasing road traffic accidents.

Keywords

face --- soft tissue --- injury


Article
Mobile Face Recognition Application Using Eigen Face Approaches for Android

Authors: Mais Mohamed Husein --- Dhia Alzubaydi
Journal: Al-Mustansiriyah Journal of Science مجلة علوم المستنصرية ISSN: 1814635X Year: 2019 Volume: 30 Issue: 1 Pages: 119-124
Publisher: Al-Mustansyriah University الجامعة المستنصرية

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Abstract

Face recognition is one of current biometrics identification methods, that based on the measuring to one of human biological characteristics and utilize them to recognize individuals. These characteristics are called biometric they are hard to fake because they identify a person by measuring one of its biological characteristics such as (finger print, iris print and face print). With the rapid improvement of mobile technologies that happen in last decade face recognition process can make using mobile phone, this paper explains the building of mobile face recognition system using Eigen face approach, Experimental results have been tested on a local data-set that has been created to analyze the efficiency of the application in various cases including different illumination conditions, variation of view, and orientation, the recognition rate of the application when testing on Galaxy Grand Prime + was 78.4. while The recognition rate when testing on Galaxy Note 5 was 82.4. The accuracy of this application can reach to 100% if we use camera with high accuracy and on good light condition.

تمييز الوجوه هي واحدة من طرق التعريف البايومترية الحالية، التي تعتمد على الحساب لاحد خواص الانسان البيولوجية واستخدامها لتمييز الافراد. هذه الخواص تسمى (biometric) من الصعب تزويرها لانها تعرف الشخص بالاعتماد على حساب أحد خواصه البيولوجية مثل (بصمة اليد، بصمة العين، بصمة الوجه). مع التطور الحاصل في تقنية الموبايل في العقد الأخير، عملية تمييز الوجوه ممكن ان تحدث باستخدام الموبايل، هذا البحث يوضح بناء تطبيق لتمييز الوجوه ب استخدام الموبايل وباستخدام منهجية (Eigen face). تجارب النتائج طبقت على قاعدة بيانات محلية لغرض تحليل اداء التطبيق في حالات مختلفة تتضمن (شروط اضاءة مختلفة، اختلاف نقطة التصوير، التدوير). معدل تمييز التطبيق عند تجربته على موبايل (Galaxy Grand Prime +) أظهرت نسبة 78.4، وعندما طبقت على (Galaxy Note 5) اظهرت دقة تمييز 82.4. دقة التطبيق ممكن ان تصل الى 100% اذا استخدمنا كامرة ذات دقة عالية وفي ظروف اضاءة جيدة.


Article
Face Recognition for Authentication by Using Anthropometric Model
التخويل بتمييز الوجه باستخدام نموذج قياسات الوجه

Authors: Farah Tawfiq Abd El_Hussien --- Emad K. Jabbar
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2010 Volume: 28 Issue: 11 Pages: 2196-2205
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

This paper presents an automatic technique for detecting important facialfeatures’ points using a developed anthropometric face model. The facialfeatures’ points we work on are about the areas of mouth, nose, eyes andeyebrows. The anthropometric means the scientific study of the measurementsand proportions of the human face. Several processes are performed in orderto recognize human personality authenticated or not, these processes arebeginning by capturing colored image using fixed digital camera and endingby features isolated into separated sub images and the lengths and distancesamong them representing authenticated persons information are stored intodatabase..In authentication stage all the extracted features are compared with storedauthenticated facial features in the database, the person is authenticated if apercentage of similarity equal to or greater than 78% is achieved.

في هذا البحث نقدم تقنية لاكتشاف و تحديد ملامح الوجه المهمة بالاعتماد على طريقةللوجه. ملامح الوجه المستخدمة في هذا البحث هي Anthropometric مطورة من نموذجتعني الدراسة العلمية لقياسات Anthropometric . مناطق العين , الحاجب, الانف, و الفمو تناسق وجه الانسان. هنالك مجموعة من العمليات يتم تنفيذها للتحقق من هوية الشخص هلهو مخول ام لا , تبدأ هذه العمليات بالتقاط صورة ملونة للشخص باستخدام كاميرا رقمية ثابتة.و تنتهي بعزل كل واحدة من هذه الملامح على حدى في صورة لوحدها و الاطوال و المسافاتبينها و التي تمثل معلومات صفات الشخص المخول ثم تخزن في قاعدة البيانات.في مرحلة التخويل نفس العمليات السابقة يتم تكرارها و تقارن النتائج مع المعلوماتالمخزونة في قاعدة البيانات للاشخاص المخولين. عند حصول التطابق بين النتائج المستحصلة والمعلومات المخزونة بنسبة 78 % او اكثر عندها يعتبر الشخص مخول.


Article
COMPARING THE COMMUNICATION METHODS IN IRAQI CONSTRUCTION PROJECTS DURING THE IMPLEMENTATION STAGE
مقارنة طرائق الاتصال في مشاريع العراق الانشائية خلال مرحلة التنفيذ

Authors: Wadhah Amer Hatem وضاح عامر حاتم --- Samiaah M. Hassen Al-Tmeemy سميعة مهدي حسن التميمي
Journal: Basrah Journal for Engineering Science مجلة البصرة للعلوم الهندسية ISSN: Print: 18146120; Online: 23118385 Year: 2014 Volume: 14 Issue: 1 Pages: 26-38
Publisher: Basrah University جامعة البصرة

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Abstract

Construction projects are complex projects and their organisations are characterised by a high degree of fragmentation since they are distributed in large areas and clearly they involves of many activities, each one being divided into sub-activities and so on. Hear clear and good communication between projects stakeholders leads to the project being more successful in contrast to when the communication is weak. This paper compares two methods of communication used in Iraqi construction projects during the implementation stage, namely the Face to Face (FTF) approach which is characterised as expensive and disruptive and Computer Mediated Communication (CMC) which represents the modern method in the communication field. The results show that the CMC method is more productive and economic than FTF and takes less time when completing an implementation work; in addition, the people are less affected by emotional factors in the construction project in contrast to FTF.

تعتبر المشاريع الانشائية من المشاريع المعقدة وتتميز تركيباتها بدرجة عالية من التجزء وهذا بسبب انتشارها فيمساحات واسعة اضافة الى ذالك ان كل مشروع يتكون من عدد كبير من الفعاليات وكل فعالية تتجزء الى عدة فعالياتثانوية وهكذا. ان الاتصال الجيد بين شركاء العمل يقود الى ان المشروع يكون اكثر نجاحا مقارنة عندما يكون الاتصالضعيف. هذا البحث يقارن بين نوعين من الاتصالات في المشاريع الانشائية في العراق اثناء مرحلة التنفيذ وتسمى )وجهاالى وجه( وهذه الطريقة تتميز بانها مكلفة وتأخر من عمر المشروع والطريقة الاخرى هي الاتصال عن طريق الشبكةالعنكبوتية والتي تمثل الطريقة الاحدث في حقل الانصالات.ان النتائج بينت افضلية طريقة الاتصال بواسطة الكومبيوتر منحيث الانتاجية والاقتصاد وكذالك ان الفعالية تحتاج الى وقت اقل لانجازها مقارنة بلطريقة التقليدية,بلاضافة الى ذالك انالناس يتاثرون في العوامل العاطفية في هذه الطريقة اقل من طريقة )وجها الى وجه(.

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