1 publication

• Published Subscription 30 Apr 2016

  Identification and Extraction of Fingerprint Recognition by using Minutiae Features

  By Subhashini D., Kiruthiga K, Niranjana S., Mounika C., Manikadan R.

  Abstract: Fingerprints are the ancient and most widely used form of biometric identification. Everyone has unique, irremovable fingerprints. Most of the Automatic Fingerprint Recognition Systems are based on local ridge and bifurcations as features known as minutiae, marking minutiae accurately are very important when it comes to matching of similar or non-similar fingerprints. A critical step in automatic fingerprint matching is to reliably extract minutiae from the input fingerprint images. This …

  Published in Recent Trends in Parallel Computing · Vol. 3, Issue 1, 2016 · pp. 22–26 Read article →