LOCAL TEXTURE DESCRIPTION FRAMEWORK FOR TEXTURE BASED FACE RECOGNITION
Texture descriptors have an important role in recognizing face images. However, almost all the existing local texture descriptors use nearest neighbors to encode a texture pattern around a pixel. But in face images, most of the pixels have similar characteristics with that of its nearest neighbors b...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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ICT Academy of Tamil Nadu
2014-02-01
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| Series: | ICTACT Journal on Image and Video Processing |
| Subjects: | |
| Online Access: | http://ictactjournals.in/paper/IJIVP_Paper_8_773_784.pdf |
| _version_ | 1818571385052594176 |
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| author | R. Reena Rose A. Suruliandi K. Meena |
| author_facet | R. Reena Rose A. Suruliandi K. Meena |
| author_sort | R. Reena Rose |
| collection | DOAJ |
| description | Texture descriptors have an important role in recognizing face images. However, almost all the existing local texture descriptors use nearest neighbors to encode a texture pattern around a pixel. But in face images, most of the pixels have similar characteristics with that of its nearest neighbors because the skin covers large area in a face and the skin tone at neighboring regions are same. Therefore this paper presents a general framework called Local Texture Description Framework that uses only eight pixels which are at certain distance apart either circular or elliptical from the referenced pixel. Local texture description can be done using the foundation of any existing local texture descriptors. In this paper, the performance of the proposed framework is verified with three existing local texture descriptors Local Binary Pattern (LBP), Local Texture Pattern (LTP) and Local Tetra Patterns (LTrPs) for the five issues viz. facial expression, partial occlusion, illumination variation, pose variation and general recognition. Five benchmark databases JAFFE, Essex, Indian faces, AT&T and Georgia Tech are used for the experiments. Experimental results demonstrate that even with less number of patterns, the proposed framework could achieve higher recognition accuracy than that of their base models. |
| first_indexed | 2024-12-14T13:54:59Z |
| format | Article |
| id | doaj.art-0350350556264d63955482a94546570c |
| institution | Directory Open Access Journal |
| issn | 0976-9099 0976-9102 |
| language | English |
| last_indexed | 2024-12-14T13:54:59Z |
| publishDate | 2014-02-01 |
| publisher | ICT Academy of Tamil Nadu |
| record_format | Article |
| series | ICTACT Journal on Image and Video Processing |
| spelling | doaj.art-0350350556264d63955482a94546570c2022-12-21T22:58:51ZengICT Academy of Tamil NaduICTACT Journal on Image and Video Processing0976-90990976-91022014-02-0143773784LOCAL TEXTURE DESCRIPTION FRAMEWORK FOR TEXTURE BASED FACE RECOGNITIONR. Reena Rose0A. Suruliandi1K. Meena2Department of Computer Applications, St. Xavier’s Catholic College of Engineering, IndiaDepartment of Computer Science and Engineering, Manonmaniam Sundaranar University, IndiaDepartment of Electronics and Communication Engineering, J. P. College of Engineering, IndiaTexture descriptors have an important role in recognizing face images. However, almost all the existing local texture descriptors use nearest neighbors to encode a texture pattern around a pixel. But in face images, most of the pixels have similar characteristics with that of its nearest neighbors because the skin covers large area in a face and the skin tone at neighboring regions are same. Therefore this paper presents a general framework called Local Texture Description Framework that uses only eight pixels which are at certain distance apart either circular or elliptical from the referenced pixel. Local texture description can be done using the foundation of any existing local texture descriptors. In this paper, the performance of the proposed framework is verified with three existing local texture descriptors Local Binary Pattern (LBP), Local Texture Pattern (LTP) and Local Tetra Patterns (LTrPs) for the five issues viz. facial expression, partial occlusion, illumination variation, pose variation and general recognition. Five benchmark databases JAFFE, Essex, Indian faces, AT&T and Georgia Tech are used for the experiments. Experimental results demonstrate that even with less number of patterns, the proposed framework could achieve higher recognition accuracy than that of their base models.http://ictactjournals.in/paper/IJIVP_Paper_8_773_784.pdfFace RecognitionLocal Texture Description FrameworkNearest Neighborhood ClassificationChi-Square Distance Metric |
| spellingShingle | R. Reena Rose A. Suruliandi K. Meena LOCAL TEXTURE DESCRIPTION FRAMEWORK FOR TEXTURE BASED FACE RECOGNITION ICTACT Journal on Image and Video Processing Face Recognition Local Texture Description Framework Nearest Neighborhood Classification Chi-Square Distance Metric |
| title | LOCAL TEXTURE DESCRIPTION FRAMEWORK FOR TEXTURE BASED FACE RECOGNITION |
| title_full | LOCAL TEXTURE DESCRIPTION FRAMEWORK FOR TEXTURE BASED FACE RECOGNITION |
| title_fullStr | LOCAL TEXTURE DESCRIPTION FRAMEWORK FOR TEXTURE BASED FACE RECOGNITION |
| title_full_unstemmed | LOCAL TEXTURE DESCRIPTION FRAMEWORK FOR TEXTURE BASED FACE RECOGNITION |
| title_short | LOCAL TEXTURE DESCRIPTION FRAMEWORK FOR TEXTURE BASED FACE RECOGNITION |
| title_sort | local texture description framework for texture based face recognition |
| topic | Face Recognition Local Texture Description Framework Nearest Neighborhood Classification Chi-Square Distance Metric |
| url | http://ictactjournals.in/paper/IJIVP_Paper_8_773_784.pdf |
| work_keys_str_mv | AT rreenarose localtexturedescriptionframeworkfortexturebasedfacerecognition AT asuruliandi localtexturedescriptionframeworkfortexturebasedfacerecognition AT kmeena localtexturedescriptionframeworkfortexturebasedfacerecognition |