In this paper a novel Handwritten Character Identification methodology that performs the recognition of the students identification numbers handwritten in classroom maps has been proposed. A dataset ...

Pattern recognition process is composed of three main steps: preprocessing, feature extraction and classification. Characteristic features and an efficient classifier are the key elements of ...

📄 Description Using the load_digits () dataset from scikit-learn, we build and train a Multi-layer Perceptron (MLP) classifier to recognize 8x8 pixel grayscale images of handwritten digits (0–9). The ...