Recognizing faces with normalized local Gabor features and Spiking Neuron Patterns
Gabor Wavelets (GW) have been extensively used for facial feature representation due to its inherent multi-resolution and multi-orientation characteristics. In this work we extend the work on Local Gabor Feature Vector (LGFV) and propose a new face recognition method called LGFV//LN//SNP, which empl...
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| Format: | Article |
| Language: | English English |
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Elsevier
2016
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| Online Access: | http://irep.iium.edu.my/49551/1/1-s2.0-S0031320315004409-main.pdf http://irep.iium.edu.my/49551/4/49551_Recognizing%20faces_wos_scopus.pdf |
| _version_ | 1825649541842468864 |
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| author | Kamaruzaman, Fadhlan Shafie, Amir Akramin |
| author_facet | Kamaruzaman, Fadhlan Shafie, Amir Akramin |
| author_sort | Kamaruzaman, Fadhlan |
| collection | IIUM |
| description | Gabor Wavelets (GW) have been extensively used for facial feature representation due to its inherent multi-resolution and multi-orientation characteristics. In this work we extend the work on Local Gabor Feature Vector (LGFV) and propose a new face recognition method called LGFV//LN//SNP, which employs local normalization filter in pre-processing stage. We propose a novel Spiking Neuron Patterns (SNP) as a dimensionality reduction method to reduce the dimensions of local Gabor features. {SNP} is acquired from projection of LGFV//LN features using Spike Response Model (SRM), a neuron model describing the spike behavior of a biological neuron. Results on AR, FERET, Yale B and {FRGC} 2.0 face datasets showed that {SNP} implementation delivered significant improvement in accuracy. Comparisons with several previously published results also suggested that LGFV//LN//SNP achieved better results in some tests. Additionally, LGFV//LN//SNP requires relatively smaller number of {GW} than LGFV//LN to produce optimal results. |
| first_indexed | 2024-03-05T23:49:05Z |
| format | Article |
| id | oai:generic.eprints.org:49551 |
| institution | International Islamic University Malaysia |
| language | English English |
| last_indexed | 2024-03-05T23:49:05Z |
| publishDate | 2016 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oai:generic.eprints.org:495512016-12-20T08:48:45Z http://irep.iium.edu.my/49551/ Recognizing faces with normalized local Gabor features and Spiking Neuron Patterns Kamaruzaman, Fadhlan Shafie, Amir Akramin TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Gabor Wavelets (GW) have been extensively used for facial feature representation due to its inherent multi-resolution and multi-orientation characteristics. In this work we extend the work on Local Gabor Feature Vector (LGFV) and propose a new face recognition method called LGFV//LN//SNP, which employs local normalization filter in pre-processing stage. We propose a novel Spiking Neuron Patterns (SNP) as a dimensionality reduction method to reduce the dimensions of local Gabor features. {SNP} is acquired from projection of LGFV//LN features using Spike Response Model (SRM), a neuron model describing the spike behavior of a biological neuron. Results on AR, FERET, Yale B and {FRGC} 2.0 face datasets showed that {SNP} implementation delivered significant improvement in accuracy. Comparisons with several previously published results also suggested that LGFV//LN//SNP achieved better results in some tests. Additionally, LGFV//LN//SNP requires relatively smaller number of {GW} than LGFV//LN to produce optimal results. Elsevier 2016-05 Article PeerReviewed application/pdf en http://irep.iium.edu.my/49551/1/1-s2.0-S0031320315004409-main.pdf application/pdf en http://irep.iium.edu.my/49551/4/49551_Recognizing%20faces_wos_scopus.pdf Kamaruzaman, Fadhlan and Shafie, Amir Akramin (2016) Recognizing faces with normalized local Gabor features and Spiking Neuron Patterns. Pattern Recognition, 53. 102 - 115. ISSN 0031-3203 http://www.sciencedirect.com/science/article/pii/S0031320315004409 doi:10.1016/j.patcog.2015.11.020 |
| spellingShingle | TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Kamaruzaman, Fadhlan Shafie, Amir Akramin Recognizing faces with normalized local Gabor features and Spiking Neuron Patterns |
| title | Recognizing faces with normalized local Gabor features and Spiking Neuron Patterns |
| title_full | Recognizing faces with normalized local Gabor features and Spiking Neuron Patterns |
| title_fullStr | Recognizing faces with normalized local Gabor features and Spiking Neuron Patterns |
| title_full_unstemmed | Recognizing faces with normalized local Gabor features and Spiking Neuron Patterns |
| title_short | Recognizing faces with normalized local Gabor features and Spiking Neuron Patterns |
| title_sort | recognizing faces with normalized local gabor features and spiking neuron patterns |
| topic | TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices |
| url | http://irep.iium.edu.my/49551/1/1-s2.0-S0031320315004409-main.pdf http://irep.iium.edu.my/49551/4/49551_Recognizing%20faces_wos_scopus.pdf |
| work_keys_str_mv | AT kamaruzamanfadhlan recognizingfaceswithnormalizedlocalgaborfeaturesandspikingneuronpatterns AT shafieamirakramin recognizingfaceswithnormalizedlocalgaborfeaturesandspikingneuronpatterns |