A New Fingerprint Matching Algorithm Based on Minimum Cost Function

2009 ◽  
pp. 187-191
Author(s):  
Andrés I. Ávila ◽  
Adrialy Muci
Keyword(s):  
Cost Function ◽  
Minimum Cost ◽  
Fingerprint Matching ◽  
Matching Algorithm

A Fingerprint Matching Algorithm Based On Minutiae And Local Ridge Orientation

2016 ◽  
Author(s):  
Marlon Lucas Gomes Salmento ◽  
Fernando Miranda Vieira Xavier ◽  
Bernardo Sotto-Maior Peralva ◽  
Augusto Santiago Cerqueira
Keyword(s):  
Fingerprint Matching ◽  
Matching Algorithm

Estimating a Non-Minimum Cost Function for Hospitals: Comment

1992 ◽  
Vol 58 (4) ◽  
pp. 1114 ◽  
Author(s):  
Scott E. Atkinson ◽  
Robert Halvorsen
Keyword(s):  
Cost Function ◽  
Minimum Cost

Constrained optimal terrain following/threat avoidance trajectory planning using network flow

2014 ◽  
Vol 118 (1203) ◽  
pp. 523-539 ◽  
Author(s):  
R. Zardashti ◽  
A. A. Nikkhah ◽  
M. J. Yazdanpanah
Keyword(s):  
Cost Function ◽  
Trajectory Planning ◽  
Network Flow ◽  
Equations Of Motion ◽  
Minimum Cost ◽  
Masking Effect ◽  
Search Problem ◽  
Starting Point ◽  
Terrain Following ◽  
Threat Avoidance

AbstractThis paper focuses on the trajectory planning for a UAV on a low altitude terrain following/threat avoidance (TF/TA) mission. Using a grid-based approximated discretisation scheme, the continuous constrained optimisation problem into a search problem is transformed over a finite network. A variant of the Minimum Cost Network Flow (MCNF) to this problem is then applied. Based on using the Digital Terrain Elevation Data (DTED) and discrete dynamic equations of motion, the four-dimensional (4D) trajectory (three spatial and one time dimensions) from a starting point to an end point is obtained by minimising a cost function subject to dynamic and mission constraints of the UAV. For each arc in the grid, a cost function is considered as the combination of the arc length, fuel consumption and flight time. The proposed algorithm which considers dynamic and altitude constraints of the UAV explicitly is then used to obtain the feasible trajectory. The resultant trajectory can increase the survivability of the UAV using the threat region avoidance and the terrain masking effect. After obtaining the feasible trajectory, an improved algorithm is proposed to smooth the trajectory. The numeric results are presented to verify the capability of the proposed approach to generate admissible trajectory in minimum possible time in comparison to the previous works.

An ultra-low memory fingerprint matching algorithm and its implementation on a 32-bit smart card

2003 ◽  
Vol 49 (2) ◽  
pp. 453-459 ◽  
Author(s):  
Sung Bum Pan ◽  
Daesung Moon ◽  
Younhee Gil ◽  
Dosung Ahn ◽  
Yongwha Chung
Keyword(s):  
Smart Card ◽  
Fingerprint Matching ◽  
Matching Algorithm

Application of Fingerprint-Matching Algorithm in Smart Gun Using Touch-Less Fingerprint Recognition System

2020 ◽  
pp. 122-128
Author(s):  
Saifullah Khalid
Keyword(s):  
Recognition System ◽  
Fingerprint Recognition ◽  
Fingerprint Matching ◽  
Fingerprint Image ◽  
Matching Algorithm ◽  
Latent Fingerprint ◽  
Recognition Systems

Fingerprint recognition systems are widely used in the field of biometrics. Many existing fingerprint sensors acquire fingerprint images as the user's fingerprint is contacted on a solid flat sensor. Because of this contact, input images from the same finger can be quite different and there are latent fingerprint issues that can lead to forgery and hygienic problems. For these reasons, a touchless fingerprint recognition system has been investigated, in which a fingerprint image can be captured without contact. While this system can solve the problems which arise through contact of the user's finger, other challenges emerge.

Sign in / Sign up

Export Citation Format

Share Document