Robust palmprint identification using efficient enhancement and two‐stage matching technique

• Main Authors: Mubeen Ghafoor, Syed Ali Tariq, Imtiaz A. Taj, Noman M. Jafri, Tehseen Zia
• Format: Article
• Language: English
• Published: Wiley 2020-09-01
• Series: IET Image Processing
• Subjects: robust palmprint identification; efficient enhancement; two‐stage matching technique; palmprint‐based human authentication; civil security applications; forensic security applications
• Online Access: https://doi.org/10.1049/iet-ipr.2018.5736

Palmprint‐based human authentication has shown great potential for civil, forensic, and corporate security applications in recent years. Palmprint recognition systems suffer because of large palmprint sizes and the presence of a large number of creases and erroneous minutiae that make the enhancement and matching phases a challenge. In this study, a novel approach is presented based on efficient enhancement and a two‐stage matching technique that demonstrates highly accurate identification results. The enhancement approach extracts minutia features from high‐quality regions based on local ridge characteristics. The selected minutiae are then matched using a two‐stage local and global minutiae neighbour‐based matching technique. To demonstrate the performance of the proposed technique, comparisons with open‐source algorithms are made based on equal error rate and detection error trade‐off graph. The results confirm the efficacy of proposed palmprint enhancement and identification technique.