Minutia Cylinder Code

Minutia Cylinder Code (MCC) is a representation of fingerprint minutiae designed to improve latent fingerprint recognition, a crucial aspect of forensic science. Current research focuses on enhancing MCC's accuracy and robustness through fusion with other feature extraction methods (e.g., deep neural network embeddings) and exploring generalized hashing techniques for improved security and privacy. These advancements aim to bridge the performance gap between latent and sensor fingerprint recognition, leading to more reliable and secure biometric authentication systems.