An efficient age estimation system with facial makeover images based on key points selection
المؤلفون المشاركون
Vairavan, Tamilb
Vani, Kaliyaperumal
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 14، العدد 1 (31 يناير/كانون الثاني 2017)، ص ص. 8-17، 10ص.
الناشر
تاريخ النشر
2017-01-31
دولة النشر
الأردن
عدد الصفحات
10
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Age is one of the essential factors in establishing the identity of the person.
Estimation of the human age is a procedure adopted by anthropologists, archaeologists and forensic scientists.
Compared with other cognition problems, age estimation from face images is still very challenging.
Predicting and estimating the age from facial images with makeup is an interesting task in digital entertainment.
Estimating age from a facial image is an intriguing and exigent task.
Aging changes both shape as well as texture and it is an irreversible, uncontrollable and personalized.
The efficiency of the age estimation system degrades with respect to facial makeover.
The main objective of this research is to estimate the age of a human from the facial image with makeup.
Initially, the face image will be normalized by employing a face detection algorithm.
After detecting the face exactly, we have extracted the unique features (key points) from the images such as texture, shape and regions.
Estimating the age of a person with different makeovers is not an easy task.
To overcome this difficulty, we have to identify the uniqueness of each image of a same person.
The eye part does not change whatever the person having the makeup.
So the eyes are same for the person with different makeover.
For region area or key points, the eye portion will be segmented from the detected face image.
The shape feature can be extracted by Active Appearance Model (AAM).
Finally, based on the feature library, the image can be classified under a particular age group using Artificial Neural Network (ANN).
After the classification the age can be predicted.
The proposed approach will be implemented in MATLAB and planned to be evaluated using various facial makeover images.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Vairavan, Tamilb& Vani, Kaliyaperumal. 2017. An efficient age estimation system with facial makeover images based on key points selection. The International Arab Journal of Information Technology،Vol. 14, no. 1, pp.8-17.
https://search.emarefa.net/detail/BIM-792076
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Vairavan, Tamilb& Vani, Kaliyaperumal. An efficient age estimation system with facial makeover images based on key points selection. The International Arab Journal of Information Technology Vol. 14, no. 1 (Jan. 2017), pp.8-17.
https://search.emarefa.net/detail/BIM-792076
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Vairavan, Tamilb& Vani, Kaliyaperumal. An efficient age estimation system with facial makeover images based on key points selection. The International Arab Journal of Information Technology. 2017. Vol. 14, no. 1, pp.8-17.
https://search.emarefa.net/detail/BIM-792076
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 16-17
رقم السجل
BIM-792076
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر