Evaluation of Fingerprint Images Captured by Optical Fingerprint Scanner

Survey on Minutiae Coordinates of X-Axis and Y- Axis in Fingerprint Captured Image using Optical Fingerprint Scanner

Fingerprint recognition is the most effective biometric to provide authentication. Fingerprint images are captured using an optical fingerprint scanner. The fingerprint images are then marked for unique points like bifurcation or ridge termination called minutiae. In this paper, we have surveyed fingerprints of 40 subjects and proposed a new factor in fingerprint image captured from the optical...

Image Preprocessing of Fingerprint Images Captured with a Mobile Camera

In this paper, we introduce the recognition of fingerprint images captured with a mobile camera. The corresponding image preprocessing algorithms are also discussed. Some characteristics of fingerprint images captured with mobile cameras are quite different from those obtained by conventional touchbased sensors. For example, mobile camera images are colored while conventional touch-based sensor...

Fingerprint Study of Thymus spp. by TLC

Background: Thymus is a widely used medicinal plant in food and pharmaceutical industries. Among different species of Thymus, T. vulgaris is used more than other species in therapeutic dosage forms. Objective: This study was conducted to differentiate various Thymus species by TLC fingerprint. Methods: In order to identify and differentiate various species of Thymus, TLC fingerprints of ess...

Denoising of Fingerprint Images

Segmentation of Fingerprint Images

An important step in an automatic fingerprint recognition system is the segmentation of fingerprint images. The task of a fingerprint segmentation algorithm is to decide which part of the image belongs to the foreground, originating from the contact of a fingertip with the sensor, and which part to the background, which is the noisy area at the borders of the image. In this paper, an algorithm ...