Spectral Eigenface Representation for Human Identification
Human identification based on face images, as physical biometric means, plays animperative role in many applications area. The methods for human identification usingface image uses either part of the face, all face, or mixture from these methods, in eithertime domain or frequency domain. This paper...
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| Format: | Article |
| Language: | English |
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Unviversity of Technology- Iraq
2010-09-01
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| Series: | Engineering and Technology Journal |
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| Online Access: | https://etj.uotechnology.edu.iq/article_40752_867971a7490c930a38bc601d673d98c9.pdf |
| _version_ | 1827358190678835200 |
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| author | Hanaa M. Salman |
| author_facet | Hanaa M. Salman |
| author_sort | Hanaa M. Salman |
| collection | DOAJ |
| description | Human identification based on face images, as physical biometric means, plays animperative role in many applications area. The methods for human identification usingface image uses either part of the face, all face, or mixture from these methods, in eithertime domain or frequency domain. This paper investigate the ability to implement theeigenface in frequency domain, the result spectral eigenface is utilize as a feature vectormeans for human identification. The converting from eigenface implementation in timedomain, into spectral eigenface implementation in frequency domain, is based onimplemented the correlation by using FFT. The Min-max is invoked as normalizationtechniques that increase spectral eigenface robustness to variations in facial geometryand illumination. Two face images are contrast in terms of their correlation distance. Athreshold (10.50x107) is used to restrict the impostor face image from being identified.The experimental results point up the effectiveness of a new method in either usingvarying (noisy images, unknown image, face expressions, illumine, and scale s), withidentification value of 100%. |
| first_indexed | 2024-03-08T06:07:11Z |
| format | Article |
| id | doaj.art-04e925e3faec44d9bb40e4d1d1f0b51a |
| institution | Directory Open Access Journal |
| issn | 1681-6900 2412-0758 |
| language | English |
| last_indexed | 2024-03-08T06:07:11Z |
| publishDate | 2010-09-01 |
| publisher | Unviversity of Technology- Iraq |
| record_format | Article |
| series | Engineering and Technology Journal |
| spelling | doaj.art-04e925e3faec44d9bb40e4d1d1f0b51a2024-02-04T17:46:36ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582010-09-0128195960597210.30684/etj.28.19.1340752Spectral Eigenface Representation for Human IdentificationHanaa M. Salman0Computer Science Depart, University of Technology/ Baghdad, IraqHuman identification based on face images, as physical biometric means, plays animperative role in many applications area. The methods for human identification usingface image uses either part of the face, all face, or mixture from these methods, in eithertime domain or frequency domain. This paper investigate the ability to implement theeigenface in frequency domain, the result spectral eigenface is utilize as a feature vectormeans for human identification. The converting from eigenface implementation in timedomain, into spectral eigenface implementation in frequency domain, is based onimplemented the correlation by using FFT. The Min-max is invoked as normalizationtechniques that increase spectral eigenface robustness to variations in facial geometryand illumination. Two face images are contrast in terms of their correlation distance. Athreshold (10.50x107) is used to restrict the impostor face image from being identified.The experimental results point up the effectiveness of a new method in either usingvarying (noisy images, unknown image, face expressions, illumine, and scale s), withidentification value of 100%.https://etj.uotechnology.edu.iq/article_40752_867971a7490c930a38bc601d673d98c9.pdfhuman identificationbiometricseigenfacefftcorrelationminmax |
| spellingShingle | Hanaa M. Salman Spectral Eigenface Representation for Human Identification Engineering and Technology Journal human identification biometrics eigenface fft correlation min max |
| title | Spectral Eigenface Representation for Human Identification |
| title_full | Spectral Eigenface Representation for Human Identification |
| title_fullStr | Spectral Eigenface Representation for Human Identification |
| title_full_unstemmed | Spectral Eigenface Representation for Human Identification |
| title_short | Spectral Eigenface Representation for Human Identification |
| title_sort | spectral eigenface representation for human identification |
| topic | human identification biometrics eigenface fft correlation min max |
| url | https://etj.uotechnology.edu.iq/article_40752_867971a7490c930a38bc601d673d98c9.pdf |
| work_keys_str_mv | AT hanaamsalman spectraleigenfacerepresentationforhumanidentification |