دانلود مقاله ISI انگلیسی شماره 52460
عنوان فارسی مقاله

شبکه های عصبی مصنوعی و برنامه نویسی بیان ژن مبتنی بر تخمین سن با استفاده از خصوصیات چهره

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
52460 2015 10 صفحه PDF سفارش دهید 5940 کلمه
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Artificial Neural Networks and Gene Expression Programing based age estimation using facial features
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Journal of King Saud University - Computer and Information Sciences, Volume 27, Issue 4, October 2015, Pages 458–467

کلمات کلیدی
شبکه های عصبی - عصبی - برنامه نویسی بیان ژن - کروموزوم ها تخمین سن
پیش نمایش مقاله
پیش نمایش مقاله شبکه های عصبی مصنوعی و  برنامه نویسی بیان ژن مبتنی بر تخمین سن با استفاده از خصوصیات چهره

چکیده انگلیسی

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.

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پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.