Incorporating color information for reliable palmprint authentication

Aythami Morales, Ajay Kumar Pathak, Miguel A. Ferrer

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

Abstract

This paper investigates new approaches for improving the conventional palmprint authentication performance by integrating color information. We firstly propose a new approach for image level combination of multiple color components to generate more reliable palmprint representation than the conventional gray level representation. This investigation is motivated to develop more robust palmprint representation that can be employed to achieve better performance for the conventional palmprint identification, with the same computational complexity. Secondly, this paper presents a rigorous analysis of different color representations for the palmprint images to ascertain the performance improvement using different feature representations (OLOF and SIFT) and different databases (scanner and webcam). The rigorous experimental results from this study suggest that the influence of color information can differently alter the performance gain, which varies with the nature of employed feature representation.
Original languageEnglish
Title of host publicationICIP 2011
Subtitle of host publication2011 18th IEEE International Conference on Image Processing
Pages3193-3196
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2011
Event2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium
Duration: 11 Sep 201114 Sep 2011

Conference

Conference2011 18th IEEE International Conference on Image Processing, ICIP 2011
Country/TerritoryBelgium
CityBrussels
Period11/09/1114/09/11

Keywords

  • Biometrics
  • color palmprint
  • image fusion

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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