Abstract
Machine learning makes an effort to extract information that is buried in data by using current data on a certain issue. Machine learning may be accomplished and output for unknown data can be predicted by using certain mathematical principles and functions to extract hidden data. One of the primary uses of machine learning is pattern recognition. The identification of patterns often requires significant visual data collection. One use of pattern recognition via image analysis is handwriting recognition. These ideas allow us to teach computers to understand any language's letters and numbers that are contained in a picture. Handwritten characters may be recognized using a variety of techniques. In this paper, some of the approaches will be discussed. Key Words: Handwriting Recognition, Machine Learning, CNN, Images.
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