<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Present manuscript deals with the biometric identification and security. Features exploited for the purpose are the principal lines of the palm of an individual. We developed an algorithm which extracts palm region from a human hand, calculates few palm specific parameters using only principal lines that differentiate one palm from another and then verifies it against a database which contain s the palms of the registered users.</p></abstract>

Present manuscript deals with the biometric identification and security. Features exploited for the purpose are the principal lines of the palm of an individual. We developed an algorithm which extracts palm region from a human hand, calculates few palm specific parameters using only principal lines that differentiate one palm from another and then verifies it against a database which contain s the palms of the registered users.

A Simple Technique for Palm Recognition Using Major Lines

Department of Electronics and Communication Engineering

Jaypee University of Information Technology

The Scientific Bulletin of Electrical Engineering Faculty

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"A Simple Technique for Palm Recognition Using Major Lines"}

Present manuscript deals with the biometric identification and security. Features exploited for the purpose are the principal lines of the palm of an...

A Simple Technique for Palm Recognition Using Major Lines

Online veröffentlicht: 23. Okt. 2017

Seitenbereich: 38 - 43

DOI: https://doi.org/10.1515/sbeef-2017-0009

Schlüsselwörter
filtering, edge detection, feature extraction

© 2017 V. Kumar et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

A Simple Technique for Palm Recognition Using Major Lines

Online veröffentlicht: 23. Okt. 2017

Seitenbereich: 38 - 43

DOI: https://doi.org/10.1515/sbeef-2017-0009

Schlüsselwörterfiltering, edge detection, feature extraction

© 2017 V. Kumar et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
filtering, edge detection, feature extraction