A Review of the Fingerprint, Speaker Recognition, Face Recognition and Iris Recognition Based Biometric Identification Technologies

Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint, and Face

The experimental results, obtained on pub- licly available datasets of fingerprint, iris and 2-D face, show that the proposed method is highly competitive compared to

Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint and Face Recognition using..

It introduce three biometric techniques which are face recognition, fingerprint, and iris recognition ( multi biometric system) and also introduce the attacks on

 Template matching methods (e.g. predefined templates and deformable templates): these approaches are based on the use of a standard face pattern that can be either

Facial recognition is the category of biometric software that maps an individual's facial features mathematically and stores the data as a face-print. The software

illumination, variability in facial expressions, the presence of accessories (glasses, beards, etc); poses, age, finally background. We can divide face recognition [4, 5]

In this paper, we used local matching method for Face recognition using Difference of Gaussian, Scale Invariant Feature Transform .Here first the facial