This paper presents face recognition from front face. The idea is to extract the facial profile from a frontal view to provide a measurement for automatic face recognition. The profile is derived from the intensity of horizontal projection of the face image and using profile measure such χ2 distance for face identification. Three profile projections from 4 images or more are taken for each person, average values are calculated and stored in a database file. Profile measurements are compared with other profile in the database file. Results of experiments to the faces with or without spectacles rotate head (lift, right) and different face expression show that the proposed approach is robust and efficient way of face matching.

يقدم هذا البحث طريقة لتمييز الوجوه عن طريق صورة امامية .حيث يتم ايجاد المسقط الجانبي للوجه عن طريق المسقط الافقي للوجه وتحديد منطقة العينين. وعن طريق المسقط الجانبي يتم حساب بعض القيم العددية ليتم تمييز الوجوه. وبعد استخلاص المسقط الجانبي وباستخدام المسافة س2 للتمييز ما بين الوجوه. يتم اخذ اربعة صور او اكثر لكل شخص وبتعابير للوجه مختلفة وحركة الوجه وبتغيير الاضاءة وخزن المعدل الحسابي في ملف حيث يتم مقارنته مع صورة غير معروفة وقد تم ادخال 160 صورة ولأشخاص مختلفين وكانت نسبه النجاح 97.5%.

Face recognition --- Profile projection --- χ2 distance --- Horizontal projection

In this paper, an improved adaptive noise cancellation approach is proposed for voice communication signals. The method is based on using noise dependent affine projection algorithm ND-APA. A conditionally variable projection order affine projection algorithm APA is developed and tested. The order of the algorithm is changed according to the change in the characteristics of the noise. The eigenvalue spread of the noise autocorrelation matrix is used as a criterion for projection order change. The order of the algorithm is made to vary from 4 to 32 according the value of the spread which changes from less than 5 for white noise to more than 15 for colored noise. The proposed method showed a superior performance as compared to the classical APA, LMS and RLS noise cancelation methods. The technique presented here can be very useful in removing environmental noise in fixed and mobile communication.

Noise cancellation --- adaptive filtering --- affine projection algorithm

This paper presents an approach for the recognition of off-line handwritten numeric strings using genetic algorithm. The proposed scheme is divided in two parts. The first part is remove the image noise, then the vertical projection is used to segment the numeric strings at isolated digits and every digit will be presented separately to the second part. The second part using improved genetic algorithm to recognize isolated handwritten digit. The result of the recognition of the numeric strings will display at the exit of the global system.

Handwritten digit --- Genetic algorithms --- Pattern recognition --- vertical projection.

The Iraqi and the Yemeni dental literature lack documentation ofkeratoacanthoma (KA). It uncommonly appears at themucocutanous junction and very rarely reported to arise in themucous membrane. Nevertheless, it has such a chance; therefore,it is necessary to bring the attention of dental practitioners to thislesion. It is a benign epithelial tumor that frequently affects theface of old people. It usually, appears as an exophytic nodule witha central keratin plug that grows rapidly but with several poses.Clinically and microscopically KA is similar to squamous cellcarcinoma (SCC) and can be occasionally misdiagnosed thereforeit is important to be biopsied and carefully interpreted. This reportpresents two clinically unusual cases of KA.

Keratoacanthom a --- epithelial tumors --- horn-like projection --- pseudo carcinoma. Introduction

The processes of rectification and registration that conducted at the satelliteimages of the most important steps in images interpretation and extract informationfor use in various applications of remote sensing. There are things that must beobserved before entering into the details of the operation. There are a number ofimportant factors that must be considered. Such as the illumination angle, Sun-Earth distance varies throughout the year. In addition to the effects ofenvironmental, climatic and weather such as cloud, haze, dusty weather, cover forone of the dates, that affect the nature of the scene this requires effort and extrawork for the interpretation of these satellite images after removing the mistakes inthem when captured by the satellite. The first process applied to the satellite imageis the Pre-Processing process, and which includes radiometric and geometriccorrections.In this paper, image to map registration method, of 1st order transform, hasbeen performed to correct the SPOT image from geometric errors using geoimageof “UTM” projection. The total RMS error, which has been reached, was less thanone meter,. The results were obtained using the ready program (ENVI).

تعتبر عملية التصحيح و التسجيل التي تجري على الصور الفضائية من اهم الخطوات في تفسيرالصور الفضائية واستخراج المعلومات للاستفادة منها في تطبيقات التحسس النائي المختلفة. هناك عد ةامور يجب مراعاتها قبل الدخول في تفاصيل العملية. هناك عدد من العوامل الهامة التي يجب مراعاتهامثل زاوية الإضاءة , اختلاف المسافة بين الارض والشمس على مدار السنة بالاضافة الى التأثيراتالبيئية والجوية والمناخية مثل الغيوم,الضباب, الجو المغبر التي تغطي احد التواريخ والتي تؤثر في طبيعةالمشهد مما يتطلب جهدا وعملا اضافيا لتفسير تلك الصور الفضائية بعد تخليصها من الاخطاء الموجودةفيها عند التقاطها بواسطة الأقمار الصناعية, لذلك فأن أول عملية تطبق على الصورة الفضائية هي عمليةالمعالجة الاولية والتي تتضمن التصحيحات الهندسية والراديومترية .في هذا البحث تم استخدام تقنية المتوالية من الدرجة الاولى وتم تصحيح الصورة هندسيا وفقا الىاعتبرت كخارطة مرجعية. تم الحصول على (UTM projection) صورة مصححة باستخدام مسقط ال.(ENVI) نسبة خطأ اقل من واحد متر, وقد تم الحصول على النتائج باستخدام البرنامج الجاهز

Image Pre-Processing --- Geometric Correction --- Map Projection --- Image Transformation --- Image Rectification --- Image resampling