Fingerprint Recognition for Images: A MATLAB Implementation

In this article, we explore the highly important topic of image fingerprint recognition. This system has been comprehensively implemented on the MATLAB platform, demonstrating clear effectiveness through its algorithmic design. The system employs key image processing techniques such as feature extraction, hash generation, and similarity comparison algorithms to facilitate effortless image identification and comparison. This implementation holds substantial reference value for numerous industries and applications. For instance, in security domains, image fingerprint recognition can be utilized for suspect identification, confidential information protection, and related applications through its pattern matching capabilities. Additionally, this technology finds extensive applications in medical imaging diagnostics, industrial production quality control, and other fields utilizing its robust comparison mechanisms. Therefore, we should actively investigate and research image fingerprint recognition technology to better leverage its capabilities and drive further advancements in the field.