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Is there any effective way exists to detect and extract only the handwritten part from a noisy image containing both handwritten and machine-printed texts? The image is attached below.

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Given an initial text find/segmentation, you could use a classifier to distinguish between machine font and handwritten text. But if you can make deductive assumptions about the machine printed font, even if for just a few fields, you could have an advantage. Proper feeding and care of classifiers is an important task.

You can also read about classifiers on Classification in Machine Learning.

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