An Enhanced Active contour based Segmentation for Fingerprint Extraction
Journal Title: International Journal on Computer Science and Engineering - Year 2012, Vol 4, Issue 9
Abstract
Fingerprint Segmentation is one of the critical and important steps in Automatic Fingerprint Recognition System (AFIS). It is a process that separates the fingerprint image into two regions, the foreground and background. The foreground region will have the fingerprint region containing features for recognition and the background region is the unwanted region which can be excluded from further process. In this paper some of the frequently used existing methods are analyzed and implemented. Then all these methods are combined in a sequential manner to propose an enhanced segmentation method. Finally the proposed method is evaluated and compared with the existing algorithm. Experimental results proved that the efficiency of the proposed method is higher than those of the previously described methods.
Authors and Affiliations
S. Uma maheswari , Dr. E. Chandra
Keywords
Related Articles
- EP ID EP145775
- DOI -
- Views 101
- Downloads 0
A Survey on Telecommunication Technology Standards
Mobile Ad-hoc Network is a self configurable routing protocol. Nodes in MANET can shift freely from one place to another place and each node in MANET can take action as a transmitter, receiver and router. WiMAX is a tele...
OBJECT-ORIENTED DATABASE REPRESENTATION THORUGH UML
Due to the lack of database representation through a ell-known object oriented modeling language i.e. Unified Modeling Language (UML), the present work is an attempt to represent the database through UML. In the paper, a...
An Efficient Text Clustering Approach using Affinity Propagation with weight modification
Recently the text mining has emerged as one of the most important fields of data mining because of most of the searching in the web is done on the basis of provided text, also the increasing use of social web network use...
Color and Texture Based Identification and Classification of food Grains using different Color Models and Haralick features
This paper presents the study on identification and classification of food grains using different color models such as L*a*b, HSV, HSI and YCbCr by combining color and texture features without performing preprocessing. T...
Organizational improvement using Organizational paradigms with the support of people paradigms
An organization is a vital part of social environment. Different parts of organization have great impact to the environment. On the other hand the different organizational strategy helps to improve the efficiency of orga...