A REVIEW ON IMPLEMENTATION OF BIOMETRIC KNUCKLE PRINT RECOGNITION
Keywords:
Biometric System, Knuckle Print, Feature Extraction, Gabor Filter, Haar Wavelet, Sobel, Local Binary Patterns.Abstract
Researchers are always on the move to innovate something new from their side. Such a work by researchers in the field of biometrics has led to identify the finger knuckle print as a biometric trait with distinct features. There are certain biometric parts such as fingerprint, iris, palm print and now knuckle print. Knuckle contains rich texture that is distinct for each fingers it selves. Knuckle has potential information that can differentiate persons uniquely. System is intended to acquire the knuckle image and process it for data acquisition and generate code map. Code map is a template that localized in database and compare with input code maps. The objective of this paper is to review various existing systems and their methodologies where they are lacking and do not met the desirable precision along with minimal error rates. There are various methods through which a knuckle print authentication system can be developed such as Compound Local Binary Patterns, Gabor Filter, Wavelet Transform, Haar Wavelet, Sobel Edge Detection and many more. The paper intended to review these systems and their flaws.
