ارسل ملاحظاتك

ارسل ملاحظاتك لنا







Artificial Neural Networks and Gene Expression Programing Based Age Estimation Using Facial Features

المصدر: مجلة جامعة الملك سعود - علوم الحاسب والمعلومات
الناشر: جامعة الملك سعود
المؤلف الرئيسي: Laskar, Baddrud Z. (Author)
مؤلفين آخرين: Ashutosh (Co-Author) , Majumder, Swanirbhar (Co-Author)
المجلد/العدد: مج27, ع4
محكمة: نعم
الدولة: السعودية
التاريخ الميلادي: 2015
الصفحات: 458 - 467
DOI: 10.33948/0584-027-004-010
ISSN: 1319-1578
رقم MD: 973755
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: science
مواضيع:
كلمات المؤلف المفتاحية:
Neural Networks | Neurons | Gene Expression Programing | Chromosomes | Age Estimation
رابط المحتوى:
صورة الغلاف QR قانون
حفظ في:
LEADER 02620nam a22002537a 4500
001 1716614
024 |3 10.33948/0584-027-004-010 
041 |a eng 
044 |b السعودية 
100 |9 525078  |a Laskar, Baddrud Z.  |e Author 
245 |a Artificial Neural Networks and Gene Expression Programing Based Age Estimation Using Facial Features 
260 |b جامعة الملك سعود  |c 2015 
300 |a 458 - 467 
336 |a بحوث ومقالات  |b Article 
520 |b This work is about estimating human age automatically through analysis of facial images. It has got a lot of real-world applications. Due to prompt advances in the fields of machine vision, facial image processing, and computer graphics, automatic age estimation via faces in computer is one of the dominant topics these days. This is due to widespread real-world applications, in areas of biometrics, security, surveillance, control, forensic art, entertainment, online customer management and support, along with cosmetology. As it is difficult to estimate the exact age, this system is to estimate a certain range of ages. Four sets of classifications have been used to differentiate a person’s data into one of the different age groups. The uniqueness about this study is the usage of two technologies i.e., Artificial Neural Networks (ANN) and Gene Expression Programing (GEP) to estimate the age and then compare the results. New methodologies like Gene Expression Programing (GEP) have been explored here and significant results were found. The dataset has been developed to provide more efficient results by superior preprocessing methods. This proposed approach has been developed, tested and trained using both the methods. A public data set was used to test the system, FG-NET. The quality of the proposed system for age estimation using facial features is shown by broad experiments on the available database of FG-NET. 
653 |a الشبكات العصبية  |a الخلايا العصبية  |a التعبير الجيني  |a الكروموسومات 
692 |b Neural Networks  |b Neurons  |b Gene Expression Programing  |b Chromosomes  |b Age Estimation 
700 |9 525080  |a Ashutosh  |e Co-Author 
700 |9 525081  |a Majumder, Swanirbhar  |e Co-Author 
773 |c 010  |e Journal of King Saud University (Computer and Information Sciences)  |f Maǧalaẗ ǧamʼaẗ al-malīk Saud : ùlm al-ḥasib wa al-maʼlumat  |l 004  |m مج27, ع4  |o 0584  |s مجلة جامعة الملك سعود - علوم الحاسب والمعلومات  |v 027  |x 1319-1578 
856 |u 0584-027-004-010.pdf 
930 |d y  |p y  |q n 
995 |a science 
999 |c 973755  |d 973755 

عناصر مشابهة