A Novel Shape Descriptor for Object Recognition
نویسندگان
چکیده
In this study a novel shape descriptor for object recognition is proposed. As preprocessing stage, Canny edge detection [4] applied to input images. Output of detector, namely image, sampled and various number points are selected. Chosen the new descriptor. Proposed composed deviations from average range angle. Shape used as feature extractor output which fed linear classifier. Linear classifier trained using pseudo-inverse gradient descent techniques. Full MNIST dataset test system results reported.
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ژورنال
عنوان ژورنال: International journal of computational and experimental science and engineering
سال: 2023
ISSN: ['2149-9144']
DOI: https://doi.org/10.22399/ijcesen.1202300