In the final semester of the Pattern Recognition Lab course (CSE 460), our project "Alphanumeric Character Recognition using NCC" aimed to bridge the gap between human-readable text and machine-interpretable data. By leveraging the principles of Normalized Cross-Correlation (NCC), a pattern recognition technique, we focused on enhancing the accuracy and efficiency of recognizing alphanumeric characters, including letters and numerals. This project not only showcased the power of pattern recognition in real-world applications but also contributed to the evolving landscape of character recognition methodologies. The project report provides insights into our approach, methodology, experimentation, and outcomes, demonstrating the potential of NCC in transforming the way we interpret alphanumeric information.