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@article{167952,
        author = {Dhruv Dolas and Aaliya Shaikh and Arohi Rathod and Arzoo Lakhani and Dr. Mrinal Bachute},
        title = {Skin Type Analysis Using Inception and ITA: A Comprehensive Approach},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {4},
        pages = {1607-1616},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=167952},
        abstract = {This paper presents an automated and efficient system to classify skin types. For analysis of skin type, skin tone and disease have been taken into consideration. A model is proposed which combines these 2 systems to give a quick and easy analysis along with recommendation of products. The prototype works in two components, first identifies skin disease and skin tone and latter suggests products based on the analysis. This product is primarily based on inception and ITA (individual Topology angle) computation through Derm ita. The paper describes the development process and algorithm selection for required tasks. Detailed description of the proposed techniques for feature extraction, normalization and resizing have been mentioned.},
        keywords = {Skin Disease, Detection, Skin Tone, Inception, ITA, Computer Vision, Feature Extraction, Classification, Pre-Processing, Image Normalization, Image Resizing. Component; Formatting; Style; Styling; Insert},
        month = {October},
        }