Age range estimation based on facial wrinkle analysis using Hessian based filter
Aging is a normal process that has an effect on different parts of the human body under the influence of various biological and environmental aspects. The most prominent changes that occur on the face are the form of the skin wrinkles, which are the main objective of this research. Specific wrinkle...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Book Section |
| Language: | English |
| Published: |
Springer
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/52673/1/Age%20range%20estimation%20.pdf |
| _version_ | 1825930757993922560 |
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| author | Razalli, Husniza Rahmat, Rahmita Wirza O. K. Khalid, Fatimah Sulaiman, Puteri Suhaiza |
| author2 | Sulaiman, Hamzah Asyrani |
| author_facet | Sulaiman, Hamzah Asyrani Razalli, Husniza Rahmat, Rahmita Wirza O. K. Khalid, Fatimah Sulaiman, Puteri Suhaiza |
| author_sort | Razalli, Husniza |
| collection | UPM |
| description | Aging is a normal process that has an effect on different parts of the human body under the influence of various biological and environmental aspects. The most prominent changes that occur on the face are the form of the skin wrinkles, which are the main objective of this research. Specific wrinkle detection is an important task in face textural analysis. Previously, some researchers have been proposed the age range estimation based on wrinkle analysis in literature, but poor localization limits the performance of the whole age estimation process. This is because, when less number of wrinkles are detected or extracted, it will consequently affect the process to estimate the correct age. Therefore, we address this issue to enhance age range estimation method using a new approach to extract correct facial wrinkles for further analysis. We propose a method to extract facial wrinkle in face image using Hessian based filter (HBF) for age estimation. In other word, this research focus on age range estimation method based on facial wrinkle analysis extracted from facial image obtained from FG-NET database using hessian based filter. The proposed filter is theoretically straightforward, however, it significantly increases the wrinkle analysis result compared to previous methods. The result shows that HBF successfully obtained higher accuracy with over 90 % estimation rate. |
| first_indexed | 2024-03-06T09:16:25Z |
| format | Book Section |
| id | upm.eprints-52673 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:16:25Z |
| publishDate | 2016 |
| publisher | Springer |
| record_format | dspace |
| spelling | upm.eprints-526732021-09-04T22:44:26Z http://psasir.upm.edu.my/id/eprint/52673/ Age range estimation based on facial wrinkle analysis using Hessian based filter Razalli, Husniza Rahmat, Rahmita Wirza O. K. Khalid, Fatimah Sulaiman, Puteri Suhaiza Aging is a normal process that has an effect on different parts of the human body under the influence of various biological and environmental aspects. The most prominent changes that occur on the face are the form of the skin wrinkles, which are the main objective of this research. Specific wrinkle detection is an important task in face textural analysis. Previously, some researchers have been proposed the age range estimation based on wrinkle analysis in literature, but poor localization limits the performance of the whole age estimation process. This is because, when less number of wrinkles are detected or extracted, it will consequently affect the process to estimate the correct age. Therefore, we address this issue to enhance age range estimation method using a new approach to extract correct facial wrinkles for further analysis. We propose a method to extract facial wrinkle in face image using Hessian based filter (HBF) for age estimation. In other word, this research focus on age range estimation method based on facial wrinkle analysis extracted from facial image obtained from FG-NET database using hessian based filter. The proposed filter is theoretically straightforward, however, it significantly increases the wrinkle analysis result compared to previous methods. The result shows that HBF successfully obtained higher accuracy with over 90 % estimation rate. Springer Sulaiman, Hamzah Asyrani Othman, Mohd Azlishah Othman, Mohd Fairuz Iskandar Abd Rahim, Yahaya Che Pee, Naim 2016 Book Section PeerReviewed text en http://psasir.upm.edu.my/id/eprint/52673/1/Age%20range%20estimation%20.pdf Razalli, Husniza and Rahmat, Rahmita Wirza O. K. and Khalid, Fatimah and Sulaiman, Puteri Suhaiza (2016) Age range estimation based on facial wrinkle analysis using Hessian based filter. In: Advanced Computer and Communication Engineering Technology. Lecture Notes in Electrical Engineering . Springer, Switzerland, pp. 759-769. ISBN 9783319245829; EISBN: 9783319245843 https://link.springer.com/chapter/10.1007/978-3-319-24584-3_64 10.1007/978-3-319-24584-3_64 |
| spellingShingle | Razalli, Husniza Rahmat, Rahmita Wirza O. K. Khalid, Fatimah Sulaiman, Puteri Suhaiza Age range estimation based on facial wrinkle analysis using Hessian based filter |
| title | Age range estimation based on facial wrinkle analysis using Hessian based filter |
| title_full | Age range estimation based on facial wrinkle analysis using Hessian based filter |
| title_fullStr | Age range estimation based on facial wrinkle analysis using Hessian based filter |
| title_full_unstemmed | Age range estimation based on facial wrinkle analysis using Hessian based filter |
| title_short | Age range estimation based on facial wrinkle analysis using Hessian based filter |
| title_sort | age range estimation based on facial wrinkle analysis using hessian based filter |
| url | http://psasir.upm.edu.my/id/eprint/52673/1/Age%20range%20estimation%20.pdf |
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