Novel multispectral face descriptor using orthogonal walsh codes
This paper proposes a novel high‐performance multispectral local descriptor that uses orthogonal Walsh codes during the generation of the discriminative feature set. Rotational variance and noise are compelling factors that significantly affect the distinctive performance of a facial identifier. The...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-05-01
|
| Series: | IET Image Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-ipr.2018.6423 |
| _version_ | 1818158673467277312 |
|---|---|
| author | Nazife Cevik Taner Cevik Ahmet GurhanlI |
| author_facet | Nazife Cevik Taner Cevik Ahmet GurhanlI |
| author_sort | Nazife Cevik |
| collection | DOAJ |
| description | This paper proposes a novel high‐performance multispectral local descriptor that uses orthogonal Walsh codes during the generation of the discriminative feature set. Rotational variance and noise are compelling factors that significantly affect the distinctive performance of a facial identifier. The descriptor proposed in this article handles these challenges favourably sacrificing any distinctive performance. Orthogonal Walsh codes are used during the generation of the local descriptor. A Walsh code is assigned to each neighbour of a reference pixel. Before the assignment of an orthogonal code to each neighbouring pixel, these pixels are sorted in ascending order that consolidates the robustness of the method against rotational variances. Almost all methods proposed so far focus on grayscale images. However, colour bands contain important information about the relationship between pixels. Therefore, authors’ method considers RGB colour bands of pixels to improve distinctive performance. The results of extensive simulations show the remarkable and competitive performance of the proposed method regarding recognition accuracy and robustness against rotational variances as well as noise effects. |
| first_indexed | 2024-12-11T15:33:50Z |
| format | Article |
| id | doaj.art-de228bafbb15482b9db335c3e324de36 |
| institution | Directory Open Access Journal |
| issn | 1751-9659 1751-9667 |
| language | English |
| last_indexed | 2024-12-11T15:33:50Z |
| publishDate | 2019-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Image Processing |
| spelling | doaj.art-de228bafbb15482b9db335c3e324de362022-12-22T00:59:59ZengWileyIET Image Processing1751-96591751-96672019-05-011371097110410.1049/iet-ipr.2018.6423Novel multispectral face descriptor using orthogonal walsh codesNazife Cevik0Taner Cevik1Ahmet GurhanlI2Department of Computer EngineeringIstanbul Arel UniversityIstanbulTurkeyDepartment of Software EngineeringIstanbul Aydin UniversityIstanbulTurkeyDepartment of Computer EngineeringIstanbul Aydin UniversityIstanbulTurkeyThis paper proposes a novel high‐performance multispectral local descriptor that uses orthogonal Walsh codes during the generation of the discriminative feature set. Rotational variance and noise are compelling factors that significantly affect the distinctive performance of a facial identifier. The descriptor proposed in this article handles these challenges favourably sacrificing any distinctive performance. Orthogonal Walsh codes are used during the generation of the local descriptor. A Walsh code is assigned to each neighbour of a reference pixel. Before the assignment of an orthogonal code to each neighbouring pixel, these pixels are sorted in ascending order that consolidates the robustness of the method against rotational variances. Almost all methods proposed so far focus on grayscale images. However, colour bands contain important information about the relationship between pixels. Therefore, authors’ method considers RGB colour bands of pixels to improve distinctive performance. The results of extensive simulations show the remarkable and competitive performance of the proposed method regarding recognition accuracy and robustness against rotational variances as well as noise effects.https://doi.org/10.1049/iet-ipr.2018.6423novel multispectral face descriptororthogonal walsh codesnovel high‐performance multispectral local descriptornoisedistinctive performanceWalsh code |
| spellingShingle | Nazife Cevik Taner Cevik Ahmet GurhanlI Novel multispectral face descriptor using orthogonal walsh codes IET Image Processing novel multispectral face descriptor orthogonal walsh codes novel high‐performance multispectral local descriptor noise distinctive performance Walsh code |
| title | Novel multispectral face descriptor using orthogonal walsh codes |
| title_full | Novel multispectral face descriptor using orthogonal walsh codes |
| title_fullStr | Novel multispectral face descriptor using orthogonal walsh codes |
| title_full_unstemmed | Novel multispectral face descriptor using orthogonal walsh codes |
| title_short | Novel multispectral face descriptor using orthogonal walsh codes |
| title_sort | novel multispectral face descriptor using orthogonal walsh codes |
| topic | novel multispectral face descriptor orthogonal walsh codes novel high‐performance multispectral local descriptor noise distinctive performance Walsh code |
| url | https://doi.org/10.1049/iet-ipr.2018.6423 |
| work_keys_str_mv | AT nazifecevik novelmultispectralfacedescriptorusingorthogonalwalshcodes AT tanercevik novelmultispectralfacedescriptorusingorthogonalwalshcodes AT ahmetgurhanli novelmultispectralfacedescriptorusingorthogonalwalshcodes |