Handwritten Character recognition and Digit Recognition using Deep Learning | Python Project
Handwritten Character recognition and Numeric Digit Recognition using Deep Learning | Python Machine Learning Final Year Project.
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🔗Email: jpinfotechprojects@gmail.com,
🌐Website: https://www.jpinfotech.org
📌Project Title: Handwritten Character recognition and Digit Recognition using Deep Learning.
💡Implementation Code: Python.
🚀Algorithm / Model Used: CNN Model Architecture.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.
💰Cost (In Indian Rupees): Rs.3000/.
📘Project Abstract:
👉Handwritten Character and digit recognition is one of the most active areas of research in computer science and it is inherently difficult because of the high variability of writing styles.
👉Convolutional neural networks (CNNs) are very effective in perceiving the structure of handwritten characters/words in ways that help in automatic extraction of distinct features and make CNN the most suitable approach for solving handwriting recognition problems.
👉Our aim in the proposed work is to develop CNN-based handwritten character and digit recognition. Thus, CNN architecture is along with reduced operational complexity and cost is developed using Python.
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