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| Content Provider | IET Digital Library |
|---|---|
| Author | Ayyavoo, Thamizharasi Suseela, Jayasudha John |
| Abstract | This study presents an illumination pre-processing method termed as ‘Discrete wavelet transform enhanced contrast limited adaptive histogram equalisation’ (DWT E-CLAHE) to recognise the front view facial images in the difficult light conditions. A recent image enhancement method CLAHE-DWT motivates to combine the two-dimensional discrete wavelet transform (2D DWT) and CLAHE. The DWT E-CLAHE is implemented as follows: The original image is enhanced using the Gamma intensity correction (GIC); then split into low-frequency and high-frequency components using 2D DWT; finally, to the low-frequency components, the logarithmic transform, GIC and CLAHE are applied in the sequential order. The face recognition of DWT E-CLAHE is made using Gabor magnitude features. The face recognition of CLAHE-DWT is implemented for the first time. The experimental results of DWT E-CLAHE in the various face databases prove the following: (i) The proper selection of parameters of DWT E-CLAHE improves the brightness and contrast of the image. (ii) The recognition accuracy of DWT E-CLAHE in the Carnegie Mellon University (CMU) Pose, Illumination, and Expression (PIE) and Extended Yale B databases are extremely good, since the brightness and contrast are improved significantly. (iii) The performance comparison of DWT E-CLAHE outperforms CLAHE-DWT and state-of-the-art face recognition methods. (iv) DWT E-CLAHE recognises the varying facial expressions. |
| Starting Page | 380 |
| Ending Page | 390 |
| Page Count | 11 |
| ISSN | 20474938 |
| Volume Number | 7 |
| e-ISSN | 20474946 |
| Issue Number | Issue 4, Jul (2018) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-bmt/7/4 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2016.0092 |
| Journal | IET Biometrics |
| Publisher Date | 2017-10-03 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | 2D DWT Brightness CMU PIE Computer Vision And Image Processing Technique Contrast Discrete Wavelet Transform Discrete Wavelet Transform Enhanced Contrast Limited Adaptive Histogram Equalisation Emotion Recognition Extended Yale B Face Database Face Recognition Facial Expression Recognition Filtering Method in Signal Processing Front View Facial Image Gabor Filter Gabor Magnitude Feature Gamma Intensity Correction GIC High-frequency Component Illumination Preprocessing Method Image Enhancement Image Enhancement Method CLAHE-DWT Image Recognition Integral Transforms Light Condition Logarithmic Transform Low-frequency Component Spatial And Pictorial Database Two-dimensional Discrete Wavelet Transform Visual Database |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Vision and Pattern Recognition Software |
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