Cloth Pattern Recognition Using Machine Learning and Neural Network
Visually impaired people face a lot of challenges while choosing clothes with complex patterns and colors. Rotation, scaling and variation in the light makes the cloth recognition problem a challenging task. An automatic cloth pattern recognition technique to classify the patterns into four classes...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Penteract Technology
2022-01-01
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| Series: | Malaysian Journal of Science and Advanced Technology |
| Subjects: | |
| Online Access: | https://mjsat.com.my/index.php/mjsat/article/view/32 |
| _version_ | 1827860417030914048 |
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| author | Sreemathy R M.P Turuk Soumya Khurana |
| author_facet | Sreemathy R M.P Turuk Soumya Khurana |
| author_sort | Sreemathy R |
| collection | DOAJ |
| description |
Visually impaired people face a lot of challenges while choosing clothes with complex patterns and colors. Rotation, scaling and variation in the light makes the cloth recognition problem a challenging task. An automatic cloth pattern recognition technique to classify the patterns into four classes namely plaid, striped, irregular and Patternless is developed using image processing, machine learning and deep learning concepts in this work. MATLAB is used as the simulation tool of choice. Color classification is done with the help of Hue Saturation Intensity (HSI) color model. To recognize clothing patterns, global and local features are extracted. Features extracted include Radon signatures and Grey Level Co-occurrence matrix. Pattern recognition has been done with the help of machine algorithms such as KNN, SVM, and deep learning networks such as AlexNet, GoogleNet, VGG-16 and VGG-19. To evaluate the effectiveness of the algorithms, CCNY Clothing Pattern data-set has been used. The maximum accuracy of 97.9% was obtained using the VGG-19 deep neural network.
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| first_indexed | 2024-03-12T13:22:44Z |
| format | Article |
| id | doaj.art-cfd0e8aa2a7940a5a7438da7ce8aa34f |
| institution | Directory Open Access Journal |
| issn | 2785-8901 |
| language | English |
| last_indexed | 2024-03-12T13:22:44Z |
| publishDate | 2022-01-01 |
| publisher | Penteract Technology |
| record_format | Article |
| series | Malaysian Journal of Science and Advanced Technology |
| spelling | doaj.art-cfd0e8aa2a7940a5a7438da7ce8aa34f2023-08-25T14:41:38ZengPenteract TechnologyMalaysian Journal of Science and Advanced Technology2785-89012022-01-012110.56532/mjsat.v2i1.3232Cloth Pattern Recognition Using Machine Learning and Neural NetworkSreemathy R0M.P TurukSoumya KhuranaPune Institute of Computer Technology Visually impaired people face a lot of challenges while choosing clothes with complex patterns and colors. Rotation, scaling and variation in the light makes the cloth recognition problem a challenging task. An automatic cloth pattern recognition technique to classify the patterns into four classes namely plaid, striped, irregular and Patternless is developed using image processing, machine learning and deep learning concepts in this work. MATLAB is used as the simulation tool of choice. Color classification is done with the help of Hue Saturation Intensity (HSI) color model. To recognize clothing patterns, global and local features are extracted. Features extracted include Radon signatures and Grey Level Co-occurrence matrix. Pattern recognition has been done with the help of machine algorithms such as KNN, SVM, and deep learning networks such as AlexNet, GoogleNet, VGG-16 and VGG-19. To evaluate the effectiveness of the algorithms, CCNY Clothing Pattern data-set has been used. The maximum accuracy of 97.9% was obtained using the VGG-19 deep neural network. https://mjsat.com.my/index.php/mjsat/article/view/32Clothing Pattern RecognitionRadon TransformGray level co-occurance matrixKNNSVMNeural Network |
| spellingShingle | Sreemathy R M.P Turuk Soumya Khurana Cloth Pattern Recognition Using Machine Learning and Neural Network Malaysian Journal of Science and Advanced Technology Clothing Pattern Recognition Radon Transform Gray level co-occurance matrix KNN SVM Neural Network |
| title | Cloth Pattern Recognition Using Machine Learning and Neural Network |
| title_full | Cloth Pattern Recognition Using Machine Learning and Neural Network |
| title_fullStr | Cloth Pattern Recognition Using Machine Learning and Neural Network |
| title_full_unstemmed | Cloth Pattern Recognition Using Machine Learning and Neural Network |
| title_short | Cloth Pattern Recognition Using Machine Learning and Neural Network |
| title_sort | cloth pattern recognition using machine learning and neural network |
| topic | Clothing Pattern Recognition Radon Transform Gray level co-occurance matrix KNN SVM Neural Network |
| url | https://mjsat.com.my/index.php/mjsat/article/view/32 |
| work_keys_str_mv | AT sreemathyr clothpatternrecognitionusingmachinelearningandneuralnetwork AT mpturuk clothpatternrecognitionusingmachinelearningandneuralnetwork AT soumyakhurana clothpatternrecognitionusingmachinelearningandneuralnetwork |