Robust fingerprint detection for access control

The paper presents a robust novel approach for access control based on the identification of the minutiae present in a fingerprint image based on the analysis of the local properties cards . The classical patterns of minutiae called ridge termination and bifurcation are identified by studying the intensity along squared paths in the image. The presented algorithm works both on grey-level image obtained directly scanning the fingerprint and binarized image and, despite its simplicity, it achieves good accuracy and can be a good candidate to be implemented in hardware or embedded on simple biometric hardware architectures or portable biometric applications such as cellular phones and smart cards.