What are the challenges in handwritten digit recognition?
Handwritten digit recognition involves the task of identifying and classifying handwritten digits accurately. However, there are several challenges in this process. Firstly, variation in writing styles and quality of digits pose a major challenge. Different individuals have different ways of writing digits, resulting in variations in shapes, slants, and heights. Secondly, the presence of noise and distortions in the input image can make it difficult to accurately identify the digits. This noise can be due to factors like scanning imperfections or ink smudging. Additionally, the problem of overlapping digits or touching digits can further complicate the recognition task. Lastly, the presence of irrelevant elements or background clutter in the image can hinder the digit recognition process. Dealing with these challenges requires the development of robust algorithms that can handle variations, noise, and segmentation problems effectively.
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