Fingerprint Image Features Extraction using Visual Tracking Image processing Technique in MATLAB Simulation

Authors(2) :-Suman, Krishan Kumar

Visual Tracking is the identification and analysis of Image to extract the useful information. The more useful information or efficiency provides the better way to analyze the Image.( Recognition of any individual is a task to identify people. Human recognition methods such as face, fingerprints, and iris generally require a cooperative subject, physical contact or close proximity. These methods are not able to recognize an individual) therefore recognition using Image Processing techniques of Image’s objects is relatively new technique without disadvantages. This project aims to visual tracking in images using his Images features and generate the dataset of useful information. Different parameters will be used for identify the image’s values and ever the( majority of current approaches are model free which is simple and fast )efficient feature extraction methods to analyze the Images Features.

Authors and Affiliations

Suman
M. Tech Scholar, Department of Computer Science Engineering, JCDMCOE Sirsa, Haryana, India
Krishan Kumar
Assistant Professor, Department of Computer Science Engineering, JCDMCOE Sirsa, Haryana, India

Finger Print; weiner filter ; thinning ; Minutiae Extraction; ridges ending.

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 447-450
Manuscript Number : CSEIT1835107
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Suman, Krishan Kumar, "Fingerprint Image Features Extraction using Visual Tracking Image processing Technique in MATLAB Simulation", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.447-450, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT1835107

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