Improving Kannada OCR Using a Stroke-Based Approach

This paper presents a method of utilizing generated strokes as additional information to perform the task of Character Recognition. We propose a model which generates a sequence of strokes given the character, which when provided along with the complete image, improves the recognition. From our experiments, we observe that this approach makes the model better equipped for a noisy environment, and tolerant to cracks or gaps in the character.