JPEG Compressed Domain Face Recognition:Different Stages and Different Features
JPEG compression standard is widely used for reducing the volume of images that are stored or transmitted via networks. In biometrics datasets, face images are usually stored in JPEG compressed format, and should be fully decompressed to be used in a face recognition system. Recently, in order to re...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Iran Telecom Research Center
2012-12-01
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| Series: | International Journal of Information and Communication Technology Research |
| Subjects: | |
| Online Access: | http://ijict.itrc.ac.ir/article-1-169-en.html |
| _version_ | 1811169286366953472 |
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| author | Mohammad Shahram Moin Alireza Sepas Moghaddam |
| author_facet | Mohammad Shahram Moin Alireza Sepas Moghaddam |
| author_sort | Mohammad Shahram Moin |
| collection | DOAJ |
| description | JPEG compression standard is widely used for reducing the volume of images that are stored or transmitted via networks. In biometrics datasets, face images are usually stored in JPEG compressed format, and should be fully decompressed to be used in a face recognition system. Recently, in order to reduce the time and complexity of decompression step, face recognition in compressed domain is considered as an emerging topic in face recognition systems. In this paper, we have tested different feature spaces, including PCA and ICA in various stages of JPEG compressed domain. The goal of these tests was to determine the best stage in JPEG compressed domain and the best features to be used in face recognition process, regarding the trade-off between the decompression overhead reduction and recognition accuracy.The experiments were conducted on FERET and FEI face databases, and results have been compared in various stages of JPEG compressed domain. The results show the superiority of zigzag scanned stagecompared to other stages and ICAfeature space compared to other feature spaces,both in terms of recognition accuracy and computational complexity. |
| first_indexed | 2024-04-10T16:39:49Z |
| format | Article |
| id | doaj.art-3cebbf66d73748bf8aebb17388a23268 |
| institution | Directory Open Access Journal |
| issn | 2251-6107 2783-4425 |
| language | English |
| last_indexed | 2024-04-10T16:39:49Z |
| publishDate | 2012-12-01 |
| publisher | Iran Telecom Research Center |
| record_format | Article |
| series | International Journal of Information and Communication Technology Research |
| spelling | doaj.art-3cebbf66d73748bf8aebb17388a232682023-02-08T07:32:30ZengIran Telecom Research CenterInternational Journal of Information and Communication Technology Research2251-61072783-44252012-12-01441323JPEG Compressed Domain Face Recognition:Different Stages and Different FeaturesMohammad Shahram Moin0Alireza Sepas Moghaddam1 JPEG compression standard is widely used for reducing the volume of images that are stored or transmitted via networks. In biometrics datasets, face images are usually stored in JPEG compressed format, and should be fully decompressed to be used in a face recognition system. Recently, in order to reduce the time and complexity of decompression step, face recognition in compressed domain is considered as an emerging topic in face recognition systems. In this paper, we have tested different feature spaces, including PCA and ICA in various stages of JPEG compressed domain. The goal of these tests was to determine the best stage in JPEG compressed domain and the best features to be used in face recognition process, regarding the trade-off between the decompression overhead reduction and recognition accuracy.The experiments were conducted on FERET and FEI face databases, and results have been compared in various stages of JPEG compressed domain. The results show the superiority of zigzag scanned stagecompared to other stages and ICAfeature space compared to other feature spaces,both in terms of recognition accuracy and computational complexity.http://ijict.itrc.ac.ir/article-1-169-en.htmlface recognitionjpeg compressed domainjpeg decompressionface databasefeature extraction |
| spellingShingle | Mohammad Shahram Moin Alireza Sepas Moghaddam JPEG Compressed Domain Face Recognition:Different Stages and Different Features International Journal of Information and Communication Technology Research face recognition jpeg compressed domain jpeg decompression face database feature extraction |
| title | JPEG Compressed Domain Face Recognition:Different Stages and Different Features |
| title_full | JPEG Compressed Domain Face Recognition:Different Stages and Different Features |
| title_fullStr | JPEG Compressed Domain Face Recognition:Different Stages and Different Features |
| title_full_unstemmed | JPEG Compressed Domain Face Recognition:Different Stages and Different Features |
| title_short | JPEG Compressed Domain Face Recognition:Different Stages and Different Features |
| title_sort | jpeg compressed domain face recognition different stages and different features |
| topic | face recognition jpeg compressed domain jpeg decompression face database feature extraction |
| url | http://ijict.itrc.ac.ir/article-1-169-en.html |
| work_keys_str_mv | AT mohammadshahrammoin jpegcompresseddomainfacerecognitiondifferentstagesanddifferentfeatures AT alirezasepasmoghaddam jpegcompresseddomainfacerecognitiondifferentstagesanddifferentfeatures |