Fingerprint Based Gender Classification for Biometric Security: A State- Of-The-Art Technique
Shivanand S. Gornale · 2015
Fingerprint Identification and Verification are certainly the most reliable and adequate evidence till date in the court of law. There are many biometric techniques like Fingerprints, Hand Geometry, Retina Scanning, Iris Scanning, Face Recognition, DNA fingerprint, Signature, Voice, Key Stroke Pattern, Gait (Body Dynamics),etc., that play a crucial role in identification and verification. The fingerprint biometric is one among most researched and used techniques for identification and verification. Comparatively a small number of machine vision techniques have been suggested for gender recognition and classification. So identifying the gender from fingerprints is an important step in forensic anthropology to shorten the list of suspects search. Very few researchers have worked on gender classification using fingerprints and have gained competitive results. This paper presents a comprehensive evaluation of lstate-of-the-art research techniques associated with gender classification using fingerprints and it is also proposed to combines the elaborate study of various methods and strategies with their comparative measures and to forecast results. This will help the researcher to undertake a comprehensive review and to carry out further research in fingerprint-based gender classification for biometric security.