Record Details

Fingerprint image classification and retrieval using statistical methods

Shodhganga@INFLIBNET

View Archive Info
 
 
Field Value
 
Title Fingerprint image classification and retrieval using statistical methods
—
 
Contributor Pawar Tanmay D
 
Subject fingerprint image classification, fingerprint image retrieval, feature extraction, robust features
 
Description Fingerprint classification is an important indexing scheme to narrow down the search of fingerprint database for efficient large-scale retrieval. It is still a challenging problem due to the intrinsic class ambiguity and the difficulty for poor quality fingerprints. Fingerprint retrieval is a pre-requisite step for many applications like recognition and registration. Feature extraction plays a very important role in retrieval process. The work presented in this research has two phases; classification and retrieval. The first phase classifies the fingerprint image and second phase performs retrieval from the classified class in phase one. In classification phase, two classification approaches are used. In the first approach, scale and rotation invariant GLCM and LBP features are concatenated to enhance the local information from the fingerprint images for powerful representation. The second approach uses SURF features to strongly represent the class-uniqueness of fingerprint images. Classification is carried out by applying these features in classification models, kNN, SVM and BoF. The retrieval phase matches the fingerprint image features using distance matching methods to retrieve similar images from the class declared from classification phase. The experimental results and comparisons on FVC2000, FVC2002, FVC 2004 and NIST - 4 databases have shown the effectiveness of the proposed method for fingerprint classification and retrieval. This PhD Thesis will help in improving fingerprint image applications like; fingerprint image verification and recognition, by speedy retrieval.
newline
newline
References p. 97-116, Publications p. 111
 
Date 2018-10-04T05:41:45Z
2018-10-04T05:41:45Z
Oct-11
27/08/2018
—
 
Type Ph.D.
 
Identifier http://hdl.handle.net/10603/218382
 
Language English
 
Relation 215
 
Rights university
 
Format xix, p. 1-111
—
DVD
 
Coverage Image Processing
 
Publisher Ahmedabad
Gujarat Technological University
Computer/IT Engineering
 
Source University