References

[1] X. Yang, S. Yuan and Y. Tian, “Assistive Clothing Pattern Recognition for Visually Impaired People,” in IEEE Transactions on Human-Machine Systems, vol. 44, no. 2, pp. 234-243, April 2014, doi: 10.1109/THMS.2014.2302814.
Synopsis: this article describes a camera-based prototype system to assist the visually impaired in recognizing patterns and colors.
Reliability: Yang is a senior research scientist with NVIDIA. His research interests include the areas of computer vision, machine learning, deep learning, and multimedia. IEEE provides a wide range of quality publications that make the exchange of technical knowledge and information possible among technology professionals.

[2] S.G. Anuradha, and Thogaricheti Ashwini. “Clothing Color and Pattern Recognition for Impaired People.” International Journal Of Engineering And Computer Science, 2016. doi:10.18535/IJECS/V5I4.51.
Synopsis: This article builds on the previous reference to recognize more patterns.
Reliability: Anuradha is an assistant professor at M.Tech. IJECS is a scholarly open access, peer reviewed international journal.

[3] L. Khalid and W. Gong, "Vision4All — A Deep Learning Fashion Assistance Solution For Blinds," 2022 5th International Conference on Artificial Intelligence and Big Data (ICAIBD), 2022, pp. 156-161, doi: 10.1109/ICAIBD55127.2022.9820475.
Synopsis: A model for assisting in identifying colors, clothing categories, textures, and styles of clothing.
Reliability: L. Khalid and W. Gong work as professors at the University of Science and Technology in China. IEEE provides a wide range of quality publications that make the exchange of technical knowledge and information possible among technology professionals.

[4] T. He, and Y. Hu. “FashionNet: Personalized Outfit Recommendation with Deep Neural Network.” ArXiv, 2018. doi: 10.48550/arXiv.1810.02443.
Synopsis: A system for recommending outfits based on preferences using deep neural networks.
Reliability: T. He is a fifth-year PhD student at UCLA and does research in Computer Vision, Machine Learning and Reinforcement Learning. ArXiv is an open-access repository of electronic preprints and postprints approved for posting after moderation.

[5] B. Gülbaş, A. Şengür, E. İncel and Y. Akbulut, "Deep Features and Extreme Learning Machines based Apparel Classification," 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), 2019, pp. 1-4, doi: 10.1109/IDAP.2019.8875916.
Synopsis: A model for classifying apparel and pattern recognition.
Reliability: A.Şengür is a Professor with the Technology Faculty, Firat University. His research interests include pattern recognition, medical image processing, and computer vision. IEEE provides a wide range of quality publications that make the exchange of technical knowledge and information possible among technology professionals.