HANDWRITING DETECTION

Machine learning aims to extract hidden information that is present in the data using knowledge of current data on a certain subject. We can achieve machine learning and predict results for unknown data by using specific mathematical functions and concepts to uncover hidden information. One of the key uses for ML is pattern recognition. Large image data sets are typically used to recognise patterns. An example of pattern recognition through an image is handwriting recognition. We may teach computers to interpret letters and numbers from any language that are contained in an image by employing such notions. Handwritten characters can be recognised using a variety of techniques. Some of the techniques used in this work will be discussed.