Image Feature Extraction Using 2D Mel-Cepstrum
In this paper, a feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. Feature matrices resulting from the 2D mel-cepstrum, Fourier LDA approach and original image matrices are individually applied to the Common Matrix Approach (CMA) based face recognition system. For e...
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| creator | Çakir, Serdar Çeti̇n, A Enis |
| description | In this paper, a feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. Feature matrices resulting from the 2D mel-cepstrum, Fourier LDA approach and original image matrices are individually applied to the Common Matrix Approach (CMA) based face recognition system. For each of these feature extraction methods, recognition rates are obtained in the AR face database, ORL database and Yale database. Experimental results indicate that recognition rates obtained by the 2D mel-cepstrum method is superior to the recognition rates obtained using Fourier LDA approach and raw image matrices. This indicates that 2D mel-cepstral analysis can be used in image feature extraction problems. |
| doi_str_mv | 10.1109/ICPR.2010.170 |
| format | Conference Proceeding |
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Feature matrices resulting from the 2D mel-cepstrum, Fourier LDA approach and original image matrices are individually applied to the Common Matrix Approach (CMA) based face recognition system. For each of these feature extraction methods, recognition rates are obtained in the AR face database, ORL database and Yale database. Experimental results indicate that recognition rates obtained by the 2D mel-cepstrum method is superior to the recognition rates obtained using Fourier LDA approach and raw image matrices. 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Feature matrices resulting from the 2D mel-cepstrum, Fourier LDA approach and original image matrices are individually applied to the Common Matrix Approach (CMA) based face recognition system. For each of these feature extraction methods, recognition rates are obtained in the AR face database, ORL database and Yale database. Experimental results indicate that recognition rates obtained by the 2D mel-cepstrum method is superior to the recognition rates obtained using Fourier LDA approach and raw image matrices. This indicates that 2D mel-cepstral analysis can be used in image feature extraction problems.</description><subject>Cepstrum</subject><subject>Discrete Fourier transforms</subject><subject>Face</subject><subject>Face recognition</subject><subject>Feature extraction</subject><subject>Speech processing</subject><issn>1051-4651</issn><issn>2831-7475</issn><isbn>1424475422</isbn><isbn>9781424475421</isbn><isbn>9781424475414</isbn><isbn>9780769541099</isbn><isbn>1424475414</isbn><isbn>0769541097</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j0tLw0AURq8vMNYsXbnJH5g49857KbHVQEURuy6TyaQMNLUkKei_t6KuDocDH3wAN8hLRO7u6ur1rST-o4afQO6MRUlSGiVRnkJGViAzRz2Dq_9AdA4ZcoVMaoWXkI9jajhpo41SKoOy7v0mFovop8MQi_nnNPgwpY9dsRrTblPQQ_Ect6yK-3EaDv01XHR-O8b8jzNYLebv1RNbvjzW1f2SJSTHGQbtpCHurDRCEcpOB98RSfSdM65pYyMc6RB84NY2wuqgbWtaI0RjhVdiBre_uynGuN4PqffD11opp46XxTcwqkUS</recordid><startdate>201008</startdate><enddate>201008</enddate><creator>Çakir, Serdar</creator><creator>Çeti̇n, A Enis</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201008</creationdate><title>Image Feature Extraction Using 2D Mel-Cepstrum</title><author>Çakir, Serdar ; Çeti̇n, A Enis</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1290-1c694720984735214f6caf2241af979bdeb3926ccac088b386c68d7d733b83a53</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Cepstrum</topic><topic>Discrete Fourier transforms</topic><topic>Face</topic><topic>Face recognition</topic><topic>Feature extraction</topic><topic>Speech processing</topic><toplevel>online_resources</toplevel><creatorcontrib>Çakir, Serdar</creatorcontrib><creatorcontrib>Çeti̇n, A Enis</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Çakir, Serdar</au><au>Çeti̇n, A Enis</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Image Feature Extraction Using 2D Mel-Cepstrum</atitle><btitle>2010 20th International Conference on Pattern Recognition</btitle><stitle>ICPR</stitle><date>2010-08</date><risdate>2010</risdate><spage>674</spage><epage>677</epage><pages>674-677</pages><issn>1051-4651</issn><eissn>2831-7475</eissn><isbn>1424475422</isbn><isbn>9781424475421</isbn><eisbn>9781424475414</eisbn><eisbn>9780769541099</eisbn><eisbn>1424475414</eisbn><eisbn>0769541097</eisbn><abstract>In this paper, a feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. Feature matrices resulting from the 2D mel-cepstrum, Fourier LDA approach and original image matrices are individually applied to the Common Matrix Approach (CMA) based face recognition system. For each of these feature extraction methods, recognition rates are obtained in the AR face database, ORL database and Yale database. Experimental results indicate that recognition rates obtained by the 2D mel-cepstrum method is superior to the recognition rates obtained using Fourier LDA approach and raw image matrices. This indicates that 2D mel-cepstral analysis can be used in image feature extraction problems.</abstract><pub>IEEE</pub><doi>10.1109/ICPR.2010.170</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Cepstrum Discrete Fourier transforms Face Face recognition Feature extraction Speech processing |
| title | Image Feature Extraction Using 2D Mel-Cepstrum |
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