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Image Search Results
Journal: Heliyon
Article Title: Derived Amharic alphabet sign language recognition using machine learning methods
doi: 10.1016/j.heliyon.2024.e38265
Figure Lengend Snippet: SVM and CNN (softmax) models comparison.
Article Snippet: As described in section , the accuracy results of the SVM model with HOG, CNN, Normalized and non-normalized features (HOG and CNN feature vectors) are 95.42 %, 89.02 %, 97.40 % and 93.61 % respectively, while a 93.55 % performance result was obtained using the
Techniques: Comparison