Homomorphic Filtering and Phase-Based Matching for Cross-Spectral Cross-Distance Face Recognition
Facial recognition has a significant application for security, especially in surveillance technologies. In surveillance systems, recognizing faces captured far away from the camera under various lighting conditions, such as in the daytime and nighttime, is a challenging task. A system capable of rec...
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MDPI AG
2021-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/13/4575 |
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| author | Fitri Arnia Maulisa Oktiana Khairun Saddami Khairul Munadi Roslidar Roslidar Biswajeet Pradhan |
| author_facet | Fitri Arnia Maulisa Oktiana Khairun Saddami Khairul Munadi Roslidar Roslidar Biswajeet Pradhan |
| author_sort | Fitri Arnia |
| collection | DOAJ |
| description | Facial recognition has a significant application for security, especially in surveillance technologies. In surveillance systems, recognizing faces captured far away from the camera under various lighting conditions, such as in the daytime and nighttime, is a challenging task. A system capable of recognizing face images in both daytime and nighttime and at various distances is called Cross-Spectral Cross Distance (CSCD) face recognition. In this paper, we proposed a phase-based CSCD face recognition approach. We employed Homomorphic filtering as photometric normalization and Band Limited Phase Only Correlation (BLPOC) for image matching. Different from the state-of-the-art methods, we directly utilized the phase component from an image, without the need for a feature extraction process. The experiment was conducted using the Long-Distance Heterogeneous Face Database (LDHF-DB). The proposed method was evaluated in three scenarios: (i) cross-spectral face verification at 1m, (ii) cross-spectral face verification at 60m, and (iii) cross-spectral face verification where the probe images (near-infrared (NIR) face images) were captured at 1m and the gallery data (face images) was captured at 60 m. The proposed CSCD method resulted in the best recognition performance among the CSCD baseline approaches, with an Equal Error Rate (EER) of 5.34% and a Genuine Acceptance Rate (GAR) of 93%. |
| first_indexed | 2024-03-10T09:50:25Z |
| format | Article |
| id | doaj.art-f88c02780f6c4e8eb8eaef927015069e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T09:50:25Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f88c02780f6c4e8eb8eaef927015069e2023-11-22T02:51:26ZengMDPI AGSensors1424-82202021-07-012113457510.3390/s21134575Homomorphic Filtering and Phase-Based Matching for Cross-Spectral Cross-Distance Face RecognitionFitri Arnia0Maulisa Oktiana1Khairun Saddami2Khairul Munadi3Roslidar Roslidar4Biswajeet Pradhan5Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh 23111, IndonesiaDepartment of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh 23111, IndonesiaDepartment of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh 23111, IndonesiaDepartment of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh 23111, IndonesiaDepartment of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh 23111, IndonesiaCentre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW 2007, AustraliaFacial recognition has a significant application for security, especially in surveillance technologies. In surveillance systems, recognizing faces captured far away from the camera under various lighting conditions, such as in the daytime and nighttime, is a challenging task. A system capable of recognizing face images in both daytime and nighttime and at various distances is called Cross-Spectral Cross Distance (CSCD) face recognition. In this paper, we proposed a phase-based CSCD face recognition approach. We employed Homomorphic filtering as photometric normalization and Band Limited Phase Only Correlation (BLPOC) for image matching. Different from the state-of-the-art methods, we directly utilized the phase component from an image, without the need for a feature extraction process. The experiment was conducted using the Long-Distance Heterogeneous Face Database (LDHF-DB). The proposed method was evaluated in three scenarios: (i) cross-spectral face verification at 1m, (ii) cross-spectral face verification at 60m, and (iii) cross-spectral face verification where the probe images (near-infrared (NIR) face images) were captured at 1m and the gallery data (face images) was captured at 60 m. The proposed CSCD method resulted in the best recognition performance among the CSCD baseline approaches, with an Equal Error Rate (EER) of 5.34% and a Genuine Acceptance Rate (GAR) of 93%.https://www.mdpi.com/1424-8220/21/13/4575BLPOCcross-spectral face recognitioncross-distance face recognitionphotometric normalization |
| spellingShingle | Fitri Arnia Maulisa Oktiana Khairun Saddami Khairul Munadi Roslidar Roslidar Biswajeet Pradhan Homomorphic Filtering and Phase-Based Matching for Cross-Spectral Cross-Distance Face Recognition Sensors BLPOC cross-spectral face recognition cross-distance face recognition photometric normalization |
| title | Homomorphic Filtering and Phase-Based Matching for Cross-Spectral Cross-Distance Face Recognition |
| title_full | Homomorphic Filtering and Phase-Based Matching for Cross-Spectral Cross-Distance Face Recognition |
| title_fullStr | Homomorphic Filtering and Phase-Based Matching for Cross-Spectral Cross-Distance Face Recognition |
| title_full_unstemmed | Homomorphic Filtering and Phase-Based Matching for Cross-Spectral Cross-Distance Face Recognition |
| title_short | Homomorphic Filtering and Phase-Based Matching for Cross-Spectral Cross-Distance Face Recognition |
| title_sort | homomorphic filtering and phase based matching for cross spectral cross distance face recognition |
| topic | BLPOC cross-spectral face recognition cross-distance face recognition photometric normalization |
| url | https://www.mdpi.com/1424-8220/21/13/4575 |
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