Design and implementation of a contactless palm print and palm vein sensor

Goh Kah Ong Michael, Tee Connie, Andrew Teoh Beng Jin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

26 Citations (Scopus)

Abstract

This paper presents an innovative contactless palm print and palm vein recognition system. We design a hand sensor that could capture the palm print and palm vein image using low-resolution web camera. Both the visible and infrared images can be captured at the same time, and we do not need specialized infrared sensor to image the vein pattern. The design of the device is simple and low-cost. The subject can be shielded completely from the complication of undergoing two separate acquiring processes. We allow subjects to position their hands freely above the sensor and they can move their hands during the acquisition process. In order to obtain clear image of the palm vascular pattern, we propose a novel image enhancement technique called local-ridge-enhancement (LRE). The proposed method removes illumination error while keeping good contrast between the print/vein pattern and the background image. Besides, we introduce a simple yet robust directional coding technique to encode the palm print and palm vein features in bit string representation. The bit string representation offers speedy template matching and enables more effective template storage and retrieval. The scores output by the palm print and palm vein experts are fused using Support Vector Machine. The fusion of these features yields promising result for practical implementation.

Original languageEnglish
Title of host publication11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010
Pages1268-1273
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 1
Event11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010 - Singapore, Singapore
Duration: 2010 Dec 72010 Dec 10

Publication series

Name11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010

Other

Other11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010
CountrySingapore
CitySingapore
Period10/12/710/12/10

Fingerprint

Sensors
Infrared radiation
Template matching
Image enhancement
Support vector machines
Fusion reactions
Lighting
Cameras
Costs

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Michael, G. K. O., Connie, T., & Jin, A. T. B. (2010). Design and implementation of a contactless palm print and palm vein sensor. In 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010 (pp. 1268-1273). [5707951] (11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010). https://doi.org/10.1109/ICARCV.2010.5707951
Michael, Goh Kah Ong ; Connie, Tee ; Jin, Andrew Teoh Beng. / Design and implementation of a contactless palm print and palm vein sensor. 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010. 2010. pp. 1268-1273 (11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010).
@inproceedings{a8d70a0800c84777831c979285a22625,
title = "Design and implementation of a contactless palm print and palm vein sensor",
abstract = "This paper presents an innovative contactless palm print and palm vein recognition system. We design a hand sensor that could capture the palm print and palm vein image using low-resolution web camera. Both the visible and infrared images can be captured at the same time, and we do not need specialized infrared sensor to image the vein pattern. The design of the device is simple and low-cost. The subject can be shielded completely from the complication of undergoing two separate acquiring processes. We allow subjects to position their hands freely above the sensor and they can move their hands during the acquisition process. In order to obtain clear image of the palm vascular pattern, we propose a novel image enhancement technique called local-ridge-enhancement (LRE). The proposed method removes illumination error while keeping good contrast between the print/vein pattern and the background image. Besides, we introduce a simple yet robust directional coding technique to encode the palm print and palm vein features in bit string representation. The bit string representation offers speedy template matching and enables more effective template storage and retrieval. The scores output by the palm print and palm vein experts are fused using Support Vector Machine. The fusion of these features yields promising result for practical implementation.",
author = "Michael, {Goh Kah Ong} and Tee Connie and Jin, {Andrew Teoh Beng}",
year = "2010",
month = "12",
day = "1",
doi = "10.1109/ICARCV.2010.5707951",
language = "English",
isbn = "9781424478132",
series = "11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010",
pages = "1268--1273",
booktitle = "11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010",

}

Michael, GKO, Connie, T & Jin, ATB 2010, Design and implementation of a contactless palm print and palm vein sensor. in 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010., 5707951, 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010, pp. 1268-1273, 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010, Singapore, Singapore, 10/12/7. https://doi.org/10.1109/ICARCV.2010.5707951

Design and implementation of a contactless palm print and palm vein sensor. / Michael, Goh Kah Ong; Connie, Tee; Jin, Andrew Teoh Beng.

11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010. 2010. p. 1268-1273 5707951 (11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Design and implementation of a contactless palm print and palm vein sensor

AU - Michael, Goh Kah Ong

AU - Connie, Tee

AU - Jin, Andrew Teoh Beng

PY - 2010/12/1

Y1 - 2010/12/1

N2 - This paper presents an innovative contactless palm print and palm vein recognition system. We design a hand sensor that could capture the palm print and palm vein image using low-resolution web camera. Both the visible and infrared images can be captured at the same time, and we do not need specialized infrared sensor to image the vein pattern. The design of the device is simple and low-cost. The subject can be shielded completely from the complication of undergoing two separate acquiring processes. We allow subjects to position their hands freely above the sensor and they can move their hands during the acquisition process. In order to obtain clear image of the palm vascular pattern, we propose a novel image enhancement technique called local-ridge-enhancement (LRE). The proposed method removes illumination error while keeping good contrast between the print/vein pattern and the background image. Besides, we introduce a simple yet robust directional coding technique to encode the palm print and palm vein features in bit string representation. The bit string representation offers speedy template matching and enables more effective template storage and retrieval. The scores output by the palm print and palm vein experts are fused using Support Vector Machine. The fusion of these features yields promising result for practical implementation.

AB - This paper presents an innovative contactless palm print and palm vein recognition system. We design a hand sensor that could capture the palm print and palm vein image using low-resolution web camera. Both the visible and infrared images can be captured at the same time, and we do not need specialized infrared sensor to image the vein pattern. The design of the device is simple and low-cost. The subject can be shielded completely from the complication of undergoing two separate acquiring processes. We allow subjects to position their hands freely above the sensor and they can move their hands during the acquisition process. In order to obtain clear image of the palm vascular pattern, we propose a novel image enhancement technique called local-ridge-enhancement (LRE). The proposed method removes illumination error while keeping good contrast between the print/vein pattern and the background image. Besides, we introduce a simple yet robust directional coding technique to encode the palm print and palm vein features in bit string representation. The bit string representation offers speedy template matching and enables more effective template storage and retrieval. The scores output by the palm print and palm vein experts are fused using Support Vector Machine. The fusion of these features yields promising result for practical implementation.

UR - http://www.scopus.com/inward/record.url?scp=79952410074&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79952410074&partnerID=8YFLogxK

U2 - 10.1109/ICARCV.2010.5707951

DO - 10.1109/ICARCV.2010.5707951

M3 - Conference contribution

AN - SCOPUS:79952410074

SN - 9781424478132

T3 - 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010

SP - 1268

EP - 1273

BT - 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010

ER -

Michael GKO, Connie T, Jin ATB. Design and implementation of a contactless palm print and palm vein sensor. In 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010. 2010. p. 1268-1273. 5707951. (11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010). https://doi.org/10.1109/ICARCV.2010.5707951