Sparse representation for face recognition: A review paper
Abstract With the increasing use of surveillance cameras, face recognition is being studied by many researchers for security purposes. Although high accuracy has been achieved for frontal faces, the existing methods have shown poor performance for occluded and corrupt images. Recently, sparse repres...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-07-01
|
| Series: | IET Image Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ipr2.12155 |
| _version_ | 1798035552907296768 |
|---|---|
| author | Jitendra Madarkar Poonam Sharma Rimjhim Padam Singh |
| author_facet | Jitendra Madarkar Poonam Sharma Rimjhim Padam Singh |
| author_sort | Jitendra Madarkar |
| collection | DOAJ |
| description | Abstract With the increasing use of surveillance cameras, face recognition is being studied by many researchers for security purposes. Although high accuracy has been achieved for frontal faces, the existing methods have shown poor performance for occluded and corrupt images. Recently, sparse representation based classification (SRC) has shown the state‐of‐the‐art result in face recognition on corrupt and occluded face images. Several researchers have developed extended SRC methods in the last decade. This paper mainly focuses on SRC and its extended methods of face recognition. SRC methods have been compared on the basis of five issues of face recognition such as linear variation, non‐linear variation, undersampled, pose variation, and low resolution. Detailed analysis of SRC methods for issues of face recognition have been discussed based on experimental results and execution time. Finally, the limitation of SRC methods have been listed to help the researchers to extend the work of existing methods to resolve the unsolved issues. |
| first_indexed | 2024-04-11T20:59:47Z |
| format | Article |
| id | doaj.art-075ecef4c8874053a24f163b247edcc2 |
| institution | Directory Open Access Journal |
| issn | 1751-9659 1751-9667 |
| language | English |
| last_indexed | 2024-04-11T20:59:47Z |
| publishDate | 2021-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Image Processing |
| spelling | doaj.art-075ecef4c8874053a24f163b247edcc22022-12-22T04:03:32ZengWileyIET Image Processing1751-96591751-96672021-07-011591825184410.1049/ipr2.12155Sparse representation for face recognition: A review paperJitendra Madarkar0Poonam Sharma1Rimjhim Padam Singh2Computer Science and Engineering VNIT Nagpur IndiaComputer Science and Engineering VNIT Nagpur IndiaComputer Science and Engineering VNIT Nagpur IndiaAbstract With the increasing use of surveillance cameras, face recognition is being studied by many researchers for security purposes. Although high accuracy has been achieved for frontal faces, the existing methods have shown poor performance for occluded and corrupt images. Recently, sparse representation based classification (SRC) has shown the state‐of‐the‐art result in face recognition on corrupt and occluded face images. Several researchers have developed extended SRC methods in the last decade. This paper mainly focuses on SRC and its extended methods of face recognition. SRC methods have been compared on the basis of five issues of face recognition such as linear variation, non‐linear variation, undersampled, pose variation, and low resolution. Detailed analysis of SRC methods for issues of face recognition have been discussed based on experimental results and execution time. Finally, the limitation of SRC methods have been listed to help the researchers to extend the work of existing methods to resolve the unsolved issues.https://doi.org/10.1049/ipr2.12155Image recognitionComputer vision and image processing techniques |
| spellingShingle | Jitendra Madarkar Poonam Sharma Rimjhim Padam Singh Sparse representation for face recognition: A review paper IET Image Processing Image recognition Computer vision and image processing techniques |
| title | Sparse representation for face recognition: A review paper |
| title_full | Sparse representation for face recognition: A review paper |
| title_fullStr | Sparse representation for face recognition: A review paper |
| title_full_unstemmed | Sparse representation for face recognition: A review paper |
| title_short | Sparse representation for face recognition: A review paper |
| title_sort | sparse representation for face recognition a review paper |
| topic | Image recognition Computer vision and image processing techniques |
| url | https://doi.org/10.1049/ipr2.12155 |
| work_keys_str_mv | AT jitendramadarkar sparserepresentationforfacerecognitionareviewpaper AT poonamsharma sparserepresentationforfacerecognitionareviewpaper AT rimjhimpadamsingh sparserepresentationforfacerecognitionareviewpaper |