A Sobel-Gradient MLP Baseline for Handwritten Character Recognition

Name: A Sobel-Gradient MLP Baseline for Handwritten Character Recognition
Uploaded: 2026-10-06T12:06:19.650285+00:00
Duration: 777 s
Description: This study tested if using only first-order Sobel edge maps could effectively classify handwritten characters. The result showed that a simple multilayer perceptron trained exclusively on these gradients achieved very high accuracy on MNIST and EMNIST letters. This suggests that the contours of strokes are sufficient to capture most of the necessary information for recognition.

This study tested if using only first-order Sobel edge maps could effectively classify handwritten characters. The result showed that a simple multilayer perceptron trained exclusively on these gradients achieved very high accuracy on MNIST and EMNIST letters. This suggests that the contours of strokes are sufficient to capture most of the necessary information for recognition.

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