Fingerprint Matching Through Feature Extraction & Matrix Equalization - Softcover

Hossain Md. Shahadat; Islam Md. Rafiqul

 
9783659511714: Fingerprint Matching Through Feature Extraction & Matrix Equalization
Softcover
ISBN 10: 3659511714 ISBN 13: 9783659511714
Verlag: LAP Lambert Academic Publishing, 2015

Inhaltsangabe

Fingerprint matching is a widely used biometric authentication system that is done on the basis that every person in the world has its own fingerprint. Every fingerprint has its universal and uniqueness characteristics and widely acceptability. We have mentioned that each fingerprint is formed in the womb during the age 17th week of the fetus and remain unchanged throughout the whole life. In our study we have tried to find out the difference between the input fingerprints by concept of the uniqueness of the fingerprints. For experiment we have taken the concept of matching any two fingerprints from the online journal [8]. We have seen that their input fingerprint, histogram equalization for enhancing the fingerprints, binarization, image segmentation (Block direction estimation and ROI extraction), and false minutia removal, minutia matcher (Alignment stage and matching stage) are discussed. After that we have mentioned an exceptional concept that every image give its own matrix which help to find out the difference between the input fingerprint images.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Reseña del editor

Fingerprint matching is a widely used biometric authentication system that is done on the basis that every person in the world has its own fingerprint. Every fingerprint has its universal and uniqueness characteristics and widely acceptability. We have mentioned that each fingerprint is formed in the womb during the age 17th week of the fetus and remain unchanged throughout the whole life. In our study we have tried to find out the difference between the input fingerprints by concept of the uniqueness of the fingerprints. For experiment we have taken the concept of matching any two fingerprints from the online journal [8]. We have seen that their input fingerprint, histogram equalization for enhancing the fingerprints, binarization, image segmentation (Block direction estimation and ROI extraction), and false minutia removal, minutia matcher (Alignment stage and matching stage) are discussed. After that we have mentioned an exceptional concept that every image give its own matrix which help to find out the difference between the input fingerprint images.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
LAP Lambert Academic Publishing
Erscheinungsdatum
2015
Sprache
Englisch
ISBN 10 
3659511714
ISBN 13 
9783659511714
Einband
Tapa blanda
Anzahl der Seiten
52
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Verantwortliche Person
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