Hand Biometrics in Digital Forensics
This work targets digital forensic applications where traditional biometrics fail, but it is incremental as it reviews existing hand-based methods without introducing new techniques.
The paper investigates hand-based biometrics, such as hand geometry, palmprint, and hand vein, for digital forensics to address challenges like damaged gloves or unreliable fingerprints, focusing on verification methods with 2D, 3D, and infrared images.
Digital forensic is now an unavoidable part for securing the digital world from identity theft. Higher order of crimes, dealing with a massive database is really very challenging problem for any intelligent system. Biometric is a better solution to win over the problems encountered by digital forensics. Many biometric characteristics are playing their significant roles in forensics over the decades. The potential benefits and scope of hand based modes in forensics have been investigated with an illustration of hand geometry verifi-cation method. It can be applied when effective biometric evidences are properly unavailable; gloves are damaged, and dirt or any kind of liquid can minimize the accessibility and reliability of the fingerprint or palmprint. Due to the crisis of pure uniqueness of hand features for a very large database, it may be relevant for verification only. Some unimodal and multimodal hand based biometrics (e.g. hand geometry, palmprint and hand vein) with several feature extractions, database and verification methods have been discussed with 2D, 3D and infrared images.