01-10-2010, 04:32 PM
[attachment=4772]
FINGERPRINT RECOGNITION
IN PARTIAL FULFILLMENT OF THE REQUIREMENTS
FOR THE DEGREE OF
Bachelor of Technology
In
Electrical Engineering
By
NEETA MURMU
And
ABHA OTTI
Under the Guidance of
Prof. P. K. Sahu
Department of Electrical Engineering
National Institute of Technology
Rourkela-769008
ABSTRACT
Human fingerprints are rich in details called minutiae, which can be used as
identification marks for fingerprint verification. The goal of this project is to develop a complete
system for fingerprint verification through extracting and matching minutiae. To achieve good
minutiae extraction in fingerprints with varying quality, preprocessing in form of image
enhancement and binarization is first applied on fingerprints before they are evaluated. Many
methods have been combined to build a minutia extractor and a minutia matcher. Minutia
marking with special consideration of the triple branch counting and false minutiae removal
methods are used in the work. An alignment-based elastic matching algorithm has been
developed for minutia matching. This algorithm is capable of finding the correspondences
between input minutia pattern and the stored template minutia pattern without resorting to
exhaustive search. Performance of the developed system is then evaluated on a database with
fingerprints from different people.
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FINGERPRINT RECOGNITION
IN PARTIAL FULFILLMENT OF THE REQUIREMENTS
FOR THE DEGREE OF
Bachelor of Technology
In
Electrical Engineering
By
NEETA MURMU
And
ABHA OTTI
Under the Guidance of
Prof. P. K. Sahu
Department of Electrical Engineering
National Institute of Technology
Rourkela-769008
ABSTRACT
Human fingerprints are rich in details called minutiae, which can be used as
identification marks for fingerprint verification. The goal of this project is to develop a complete
system for fingerprint verification through extracting and matching minutiae. To achieve good
minutiae extraction in fingerprints with varying quality, preprocessing in form of image
enhancement and binarization is first applied on fingerprints before they are evaluated. Many
methods have been combined to build a minutia extractor and a minutia matcher. Minutia
marking with special consideration of the triple branch counting and false minutiae removal
methods are used in the work. An alignment-based elastic matching algorithm has been
developed for minutia matching. This algorithm is capable of finding the correspondences
between input minutia pattern and the stored template minutia pattern without resorting to
exhaustive search. Performance of the developed system is then evaluated on a database with
fingerprints from different people.
iii
