A comparative study of low-light fingerprint image enhancement methods based on multimetric evaluation
Low-light fingerprint images often suffer from insufficient illumination, low ridge-valley contrast, and missing details, which severely compromise the accuracy of minutiae extraction in Automated Fingerprint Identification Systems (AFIS) and threaten the reliability of forensic identification. While deep learning-base...