Face Recognition using Similarity Pattern of Image Directional Edge Response
An effective face descriptor is critical for a successful face recognition system and must overcome the challenges of changing environment. The face representation must have discriminatory information and be computationally feasible for any face recognition system. In this paper we propose a new f...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Stefan cel Mare University of Suceava
2014-02-01
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| Series: | Advances in Electrical and Computer Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.4316/AECE.2014.01011 |
| _version_ | 1811260740636508160 |
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| author | BASHAR, F. KHAN, A. AHMED, F. KABIR, H. |
| author_facet | BASHAR, F. KHAN, A. AHMED, F. KABIR, H. |
| author_sort | BASHAR, F. |
| collection | DOAJ |
| description | An effective face descriptor is critical for a successful face recognition system and must overcome the challenges
of changing environment. The face representation must have discriminatory information and be computationally
feasible for any face recognition system. In this paper we propose a new face descriptor, Similarity Pattern
of Image Directional Edge Response (SPIDER), for face recognition. An image is divided into smaller local
regions and 8 directional edge responses are generated for each pixel position in the regions. The regional
cumulative response of each direction is calculated and a histogram is generated consisting of 8 bins, one
for each of the directions. The SPIDER code is generated by calculating the similarity between the histogram
of the local region around each pixel against the histogram of neighbor regions. The feature vector is
projected to a low-dimension vector space using a dimension reduction method to minimize the classification
time. Experiments using the proposed method were carried out on the FERET database and results show improved
recognition rates indicating the robustness to changing environment, and a low classification time compared
to the existing methods. |
| first_indexed | 2024-04-12T18:52:06Z |
| format | Article |
| id | doaj.art-8b26e1d7d5f24701b9bf2066ff5a1f0e |
| institution | Directory Open Access Journal |
| issn | 1582-7445 1844-7600 |
| language | English |
| last_indexed | 2024-04-12T18:52:06Z |
| publishDate | 2014-02-01 |
| publisher | Stefan cel Mare University of Suceava |
| record_format | Article |
| series | Advances in Electrical and Computer Engineering |
| spelling | doaj.art-8b26e1d7d5f24701b9bf2066ff5a1f0e2022-12-22T03:20:26ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002014-02-01141697610.4316/AECE.2014.01011Face Recognition using Similarity Pattern of Image Directional Edge ResponseBASHAR, F.KHAN, A.AHMED, F.KABIR, H.An effective face descriptor is critical for a successful face recognition system and must overcome the challenges of changing environment. The face representation must have discriminatory information and be computationally feasible for any face recognition system. In this paper we propose a new face descriptor, Similarity Pattern of Image Directional Edge Response (SPIDER), for face recognition. An image is divided into smaller local regions and 8 directional edge responses are generated for each pixel position in the regions. The regional cumulative response of each direction is calculated and a histogram is generated consisting of 8 bins, one for each of the directions. The SPIDER code is generated by calculating the similarity between the histogram of the local region around each pixel against the histogram of neighbor regions. The feature vector is projected to a low-dimension vector space using a dimension reduction method to minimize the classification time. Experiments using the proposed method were carried out on the FERET database and results show improved recognition rates indicating the robustness to changing environment, and a low classification time compared to the existing methods.http://dx.doi.org/10.4316/AECE.2014.01011discrete cosine transformface recognitionfeature extractionimage texture analysispattern analysis |
| spellingShingle | BASHAR, F. KHAN, A. AHMED, F. KABIR, H. Face Recognition using Similarity Pattern of Image Directional Edge Response Advances in Electrical and Computer Engineering discrete cosine transform face recognition feature extraction image texture analysis pattern analysis |
| title | Face Recognition using Similarity Pattern of Image Directional Edge Response |
| title_full | Face Recognition using Similarity Pattern of Image Directional Edge Response |
| title_fullStr | Face Recognition using Similarity Pattern of Image Directional Edge Response |
| title_full_unstemmed | Face Recognition using Similarity Pattern of Image Directional Edge Response |
| title_short | Face Recognition using Similarity Pattern of Image Directional Edge Response |
| title_sort | face recognition using similarity pattern of image directional edge response |
| topic | discrete cosine transform face recognition feature extraction image texture analysis pattern analysis |
| url | http://dx.doi.org/10.4316/AECE.2014.01011 |
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