Eyes versus Eyebrows: A Comprehensive Evaluation Using the Multiscale Analysis and Curvature-Based Combination Methods in Partial Face Recognition
This work aimed to find the most discriminative facial regions between the eyes and eyebrows for periocular biometric features in a partial face recognition system. We propose multiscale analysis methods combined with curvature-based methods. The goal of this combination was to capture the details o...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Algorithms |
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| Online Access: | https://www.mdpi.com/1999-4893/15/6/208 |
| _version_ | 1797490813831217152 |
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| author | Regina Lionnie Catur Apriono Dadang Gunawan |
| author_facet | Regina Lionnie Catur Apriono Dadang Gunawan |
| author_sort | Regina Lionnie |
| collection | DOAJ |
| description | This work aimed to find the most discriminative facial regions between the eyes and eyebrows for periocular biometric features in a partial face recognition system. We propose multiscale analysis methods combined with curvature-based methods. The goal of this combination was to capture the details of these features at finer scales and offer them in-depth characteristics using curvature. The eye and eyebrow images cropped from four face 2D image datasets were evaluated. The recognition performance was calculated using the nearest neighbor and support vector machine classifiers. Our proposed method successfully produced richer details in finer scales, yielding high recognition performance. The highest accuracy results were 76.04% and 98.61% for the limited dataset and 96.88% and 93.22% for the larger dataset for the eye and eyebrow images, respectively. Moreover, we compared the results between our proposed methods and other works, and we achieved similar high accuracy results using only eye and eyebrow images. |
| first_indexed | 2024-03-10T00:38:26Z |
| format | Article |
| id | doaj.art-854db120a3654fc7843ed75f2cdeba2d |
| institution | Directory Open Access Journal |
| issn | 1999-4893 |
| language | English |
| last_indexed | 2024-03-10T00:38:26Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj.art-854db120a3654fc7843ed75f2cdeba2d2023-11-23T15:13:20ZengMDPI AGAlgorithms1999-48932022-06-0115620810.3390/a15060208Eyes versus Eyebrows: A Comprehensive Evaluation Using the Multiscale Analysis and Curvature-Based Combination Methods in Partial Face RecognitionRegina Lionnie0Catur Apriono1Dadang Gunawan2Department of Electrical Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok City 16424, IndonesiaDepartment of Electrical Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok City 16424, IndonesiaDepartment of Electrical Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok City 16424, IndonesiaThis work aimed to find the most discriminative facial regions between the eyes and eyebrows for periocular biometric features in a partial face recognition system. We propose multiscale analysis methods combined with curvature-based methods. The goal of this combination was to capture the details of these features at finer scales and offer them in-depth characteristics using curvature. The eye and eyebrow images cropped from four face 2D image datasets were evaluated. The recognition performance was calculated using the nearest neighbor and support vector machine classifiers. Our proposed method successfully produced richer details in finer scales, yielding high recognition performance. The highest accuracy results were 76.04% and 98.61% for the limited dataset and 96.88% and 93.22% for the larger dataset for the eye and eyebrow images, respectively. Moreover, we compared the results between our proposed methods and other works, and we achieved similar high accuracy results using only eye and eyebrow images.https://www.mdpi.com/1999-4893/15/6/208curvature-based methodeyeseyebrowsmultiscale analysis methodpartial face recognitionperiocular biometrics |
| spellingShingle | Regina Lionnie Catur Apriono Dadang Gunawan Eyes versus Eyebrows: A Comprehensive Evaluation Using the Multiscale Analysis and Curvature-Based Combination Methods in Partial Face Recognition Algorithms curvature-based method eyes eyebrows multiscale analysis method partial face recognition periocular biometrics |
| title | Eyes versus Eyebrows: A Comprehensive Evaluation Using the Multiscale Analysis and Curvature-Based Combination Methods in Partial Face Recognition |
| title_full | Eyes versus Eyebrows: A Comprehensive Evaluation Using the Multiscale Analysis and Curvature-Based Combination Methods in Partial Face Recognition |
| title_fullStr | Eyes versus Eyebrows: A Comprehensive Evaluation Using the Multiscale Analysis and Curvature-Based Combination Methods in Partial Face Recognition |
| title_full_unstemmed | Eyes versus Eyebrows: A Comprehensive Evaluation Using the Multiscale Analysis and Curvature-Based Combination Methods in Partial Face Recognition |
| title_short | Eyes versus Eyebrows: A Comprehensive Evaluation Using the Multiscale Analysis and Curvature-Based Combination Methods in Partial Face Recognition |
| title_sort | eyes versus eyebrows a comprehensive evaluation using the multiscale analysis and curvature based combination methods in partial face recognition |
| topic | curvature-based method eyes eyebrows multiscale analysis method partial face recognition periocular biometrics |
| url | https://www.mdpi.com/1999-4893/15/6/208 |
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