Comparison of fingerprint enhancement techniques through Mean Square Error and Peak-Signal to Noise Ratio
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 1
Abstract
In the fingerprint recognition system the main goal of the fingerprint enhancement algorithm is to reduce the noise present in the image. There are several factors that affect the quality of the acquired fingerprint image viz. presence of scars, variations of the pressure between the finger and acquisition sensor, worn artifacts, and environmental conditions during acquisition process. An input fingerprint image is thereby transformed by the enhancement algorithm to reduce the noise present in the image. This paper shows the work performed on the new database of fingerprint images acquired with a 500dpi optical sensor. Three different enhancement algorithms are applied on the images and the qualities of the reconstructed images are compared using mean-square error and peak-signal to noise ratio.
Authors and Affiliations
M. M. Kazi , A. V. Mane , R. R. Manza , K. V. Kale,
Keywords
Related Articles
- EP ID EP119046
- DOI -
- Views 117
- Downloads 0
A Novel Document Clustering Algorithm Using Squared Distance Optimization Through Genetic Algorithms
K-Means Algorithm is most widely used algorithms in document clustering. However, it still suffer some shortcomings like random initialization, solution converges to local minima, and empty cluster formation. Genetic alg...
Performance Of OLSR Routing Protocol Under Different Route Refresh Intervals In Ad Hoc Networks
An ad hoc wireless network consists of mobile terminals communicating with each other without the help of traditional infrastructure for communication. Optimized Link State Protocol (OLSR) is a proactive routing protoco...
Word Disambiguation in Web Search
Internet is huge like a sea as the amount of information is growing rapidly on WEB. Whenever user searches something on Internet the Search Engine provides an incredible amount of information that increases the complexit...
Knowledge-driven Intuitionistic Fuzzy Decision Support for finding out the causes of Obesity
In this paper, we propose an Intuitionistic Fuzzy decision support system for determining the causes of a more or less common disorder – obesity. Obesity can be simply lifestyle related i.e. excessive food energy intake...
COMPONENT-BASED HETEROGENEOUS SOFTWARE RCHITECTURE RELIABILITY (COHAR) MODELING
In this paper, we propose an analytical model for mponent-based heterogeneous software architecture reliability and a method to find the solution for finding the optimal eliability of the overall software system accor...