Handwritten Numeral Image Recognizer with Source Code | Machine Learning Image Processing Project

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Handwritten Numeral Image Recognizer with Source Code | Machine Learning Image Processing Project
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Broad Area-
Machine Learning using Python
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Introduction-
Machine Learning models to provide efficient and reliable techniques for the recognition of handwritten numerals by comparing various existing classification models.
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Objective-
To convert real-time input images of handwritten digits into text based on a given dataset with an extended feature of retraining the machine by inserting user input in the given training dataset.
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Usefulness-
Handwriting Numeral Image Recognition System is useful in several text recognizing tasks like Mobile Number detection, Aadhaar Number detection, Pin Code detection in several organizations for sake of Data Entry purpose, and many more. Also, it provides a utility to listen to handwritten documents without reading it.
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Technology-
• Machine Learning • Python 3.x • Image Processing
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Get the Souce Code here-
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Complete Software Demo & Code-