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The project comes with the technique of OCR (Optical Character Recognition)which includes various research sides of computer science. The project is totake a picture of a character and process it up to recognize the image of thatcharacter like a human brain recognize the various digits. The project containsthe deep idea of the Image Processing techniques and the big research area ofmachine learning and the building block of the machine learning called NeuralNetwork. There are two different parts of the project. Training part comes withthe idea of to train a child by giving various sets of similar characters butnot the totally same and to say them the output of this is this. Like this ideaone has to train the newly built neural network with so many characters. Thispart contains some new algorithm which is self-created and upgraded as theproject need. The testing part contains the testing of a new dataset .This partalways comes after the part of the training .At first one has to teach thechild how to recognize the character .Then one has to take the test whether hehas given right answer or not. If not, one has to train him harder by givingnew dataset and new entries. Just like that one has to test the algorithm also.There are many parts of statistical modeling and optimization techniques whichcome into the project requiring a lot of modeling concept of statistics likeoptimizer technique and filtering process, that how the mathematics andprediction behind that filtering or the algorithms comes after or which resultone actually needs to and ultimately for the prediction of a predictive modelcreation. Machine learning algorithm is built by concepts of prediction andprogramming.

Handwritten Digit Recognition Using Improved Bounding Box Recognition Technique