3-D palmprint modeling for biometric verification

Srijith Rajeev, Kamath K.M. Shreyas, Karen Panetta, Sos Agaian

Research output: ResearchConference contribution

  • 2 Citations

Abstract

Palmprint is a very unique and distinctive biometric trait because of features such as a person's inimitable principal lines, wrinkles, delta points, and minutiae. These constitute the main reasons why palmprint verification is considered as one of the most reliable personal identification methods. However, a clear majority of the research on palm-prints are concentrated on 2-D palmprint images irrespective of the fact that the human palm is a 3D-surface. While 2-D palmprint recognition has proved to be efficient in terms of verification rate, it has some essential downsides. These restrictions can adversely affect the performance and robustness of the palmprint recognition system. One of the possible solutions to resolve the limitations associated with 2-D palm print authentication systems is (i) to use a 3-D scanning system and to produce high quality 3-D images with depth information; (ii) to map 3-D palm-print images into 2-D images which may support the usage of 3-D images with both biometric palmprint 2-D image databases and 2-D palmprint recognition tools. The bloom of 3-D technologies has made it easier to capture and store 3-D images. The problem of a direct mapping approach is that a large section of the palm is hard-pressed on the scanner surface during 2-D based acquisition. This paper proposes a novel technique to unravel/map 3-D palm images to its equivalent 2-D palm-print image. This image can be then used to perform efficient and accurate 2-D identification/ verification. Experimental results and discussions will also be presented.

LanguageEnglish (US)
Title of host publication2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509063567
DOIs
StatePublished - Jun 7 2017
Event2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017 - Waltham, United States
Duration: Apr 25 2017Apr 26 2017

Other

Other2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017
CountryUnited States
CityWaltham
Period4/25/174/26/17

Fingerprint

Palmprint recognition
Biometrics
biometrics
Authentication
Scanning
human being
performance

Keywords

  • 2-D
  • 3-D
  • Authentication
  • Biometric
  • Identification
  • Mapping
  • Modeling
  • Palm-print
  • Security
  • Unrolling
  • Verification

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Safety Research

Cite this

Rajeev, S., Shreyas, K. K. M., Panetta, K., & Agaian, S. (2017). 3-D palmprint modeling for biometric verification. In 2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017 [7943450] Institute of Electrical and Electronics Engineers Inc.. DOI: 10.1109/THS.2017.7943450

3-D palmprint modeling for biometric verification. / Rajeev, Srijith; Shreyas, Kamath K.M.; Panetta, Karen; Agaian, Sos.

2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7943450.

Research output: ResearchConference contribution

Rajeev, S, Shreyas, KKM, Panetta, K & Agaian, S 2017, 3-D palmprint modeling for biometric verification. in 2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017., 7943450, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017, Waltham, United States, 4/25/17. DOI: 10.1109/THS.2017.7943450
Rajeev S, Shreyas KKM, Panetta K, Agaian S. 3-D palmprint modeling for biometric verification. In 2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017. Institute of Electrical and Electronics Engineers Inc.2017. 7943450. Available from, DOI: 10.1109/THS.2017.7943450
Rajeev, Srijith ; Shreyas, Kamath K.M. ; Panetta, Karen ; Agaian, Sos. / 3-D palmprint modeling for biometric verification. 2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017. Institute of Electrical and Electronics Engineers Inc., 2017.
@inbook{be578b7967ef49a3a23fe43e4d44264a,
title = "3-D palmprint modeling for biometric verification",
abstract = "Palmprint is a very unique and distinctive biometric trait because of features such as a person's inimitable principal lines, wrinkles, delta points, and minutiae. These constitute the main reasons why palmprint verification is considered as one of the most reliable personal identification methods. However, a clear majority of the research on palm-prints are concentrated on 2-D palmprint images irrespective of the fact that the human palm is a 3D-surface. While 2-D palmprint recognition has proved to be efficient in terms of verification rate, it has some essential downsides. These restrictions can adversely affect the performance and robustness of the palmprint recognition system. One of the possible solutions to resolve the limitations associated with 2-D palm print authentication systems is (i) to use a 3-D scanning system and to produce high quality 3-D images with depth information; (ii) to map 3-D palm-print images into 2-D images which may support the usage of 3-D images with both biometric palmprint 2-D image databases and 2-D palmprint recognition tools. The bloom of 3-D technologies has made it easier to capture and store 3-D images. The problem of a direct mapping approach is that a large section of the palm is hard-pressed on the scanner surface during 2-D based acquisition. This paper proposes a novel technique to unravel/map 3-D palm images to its equivalent 2-D palm-print image. This image can be then used to perform efficient and accurate 2-D identification/ verification. Experimental results and discussions will also be presented.",
keywords = "2-D, 3-D, Authentication, Biometric, Identification, Mapping, Modeling, Palm-print, Security, Unrolling, Verification",
author = "Srijith Rajeev and Shreyas, {Kamath K.M.} and Karen Panetta and Sos Agaian",
year = "2017",
month = "6",
doi = "10.1109/THS.2017.7943450",
booktitle = "2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

TY - CHAP

T1 - 3-D palmprint modeling for biometric verification

AU - Rajeev,Srijith

AU - Shreyas,Kamath K.M.

AU - Panetta,Karen

AU - Agaian,Sos

PY - 2017/6/7

Y1 - 2017/6/7

N2 - Palmprint is a very unique and distinctive biometric trait because of features such as a person's inimitable principal lines, wrinkles, delta points, and minutiae. These constitute the main reasons why palmprint verification is considered as one of the most reliable personal identification methods. However, a clear majority of the research on palm-prints are concentrated on 2-D palmprint images irrespective of the fact that the human palm is a 3D-surface. While 2-D palmprint recognition has proved to be efficient in terms of verification rate, it has some essential downsides. These restrictions can adversely affect the performance and robustness of the palmprint recognition system. One of the possible solutions to resolve the limitations associated with 2-D palm print authentication systems is (i) to use a 3-D scanning system and to produce high quality 3-D images with depth information; (ii) to map 3-D palm-print images into 2-D images which may support the usage of 3-D images with both biometric palmprint 2-D image databases and 2-D palmprint recognition tools. The bloom of 3-D technologies has made it easier to capture and store 3-D images. The problem of a direct mapping approach is that a large section of the palm is hard-pressed on the scanner surface during 2-D based acquisition. This paper proposes a novel technique to unravel/map 3-D palm images to its equivalent 2-D palm-print image. This image can be then used to perform efficient and accurate 2-D identification/ verification. Experimental results and discussions will also be presented.

AB - Palmprint is a very unique and distinctive biometric trait because of features such as a person's inimitable principal lines, wrinkles, delta points, and minutiae. These constitute the main reasons why palmprint verification is considered as one of the most reliable personal identification methods. However, a clear majority of the research on palm-prints are concentrated on 2-D palmprint images irrespective of the fact that the human palm is a 3D-surface. While 2-D palmprint recognition has proved to be efficient in terms of verification rate, it has some essential downsides. These restrictions can adversely affect the performance and robustness of the palmprint recognition system. One of the possible solutions to resolve the limitations associated with 2-D palm print authentication systems is (i) to use a 3-D scanning system and to produce high quality 3-D images with depth information; (ii) to map 3-D palm-print images into 2-D images which may support the usage of 3-D images with both biometric palmprint 2-D image databases and 2-D palmprint recognition tools. The bloom of 3-D technologies has made it easier to capture and store 3-D images. The problem of a direct mapping approach is that a large section of the palm is hard-pressed on the scanner surface during 2-D based acquisition. This paper proposes a novel technique to unravel/map 3-D palm images to its equivalent 2-D palm-print image. This image can be then used to perform efficient and accurate 2-D identification/ verification. Experimental results and discussions will also be presented.

KW - 2-D

KW - 3-D

KW - Authentication

KW - Biometric

KW - Identification

KW - Mapping

KW - Modeling

KW - Palm-print

KW - Security

KW - Unrolling

KW - Verification

UR - http://www.scopus.com/inward/record.url?scp=85022208356&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85022208356&partnerID=8YFLogxK

U2 - 10.1109/THS.2017.7943450

DO - 10.1109/THS.2017.7943450

M3 - Conference contribution

BT - 2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017

PB - Institute of Electrical and Electronics Engineers Inc.

ER -