Fingerprint Recognition Using a Reference Point and Pores

Kalyani Mali; Samayita Bhattacharya

Biometrics is one of the biggest tendencies in human identification. The fingerprint is the most widely used biometric. However considering the automatic fingerprint recognition a completely solved problem is a common mistake. There are many different algorithms being used to get this accomplished. The global level structures consist of many ridges to form some specific shape like arch, loop, and whorl. Local level structures are called minutiae, which further classified as either endpoints or bifurcations. Either of which can be used to identify the fingerprint. The most popular and extensively used method is the minutiae-based method. In our method we used pores as the fingerprint feature.

Select Volume / Issues:

• Volume 4 Issue 1, Jan. 2013

Year:

2013

Type of Publication:

Article

Keywords:

AFRS; Fingerprint; Global Structure; Local Structure; Average Gradient; Core; Delta; Point Orientation; Singular Point; Directional Field; Ridge; Valley; Bifurcation; Ridge Ending; Minutiae; Pores

Journal:

IJECCE

Volume:

4

Number:

1

Pages:

303-308

Month:

January