Personal identification using images of the human palm

Author

Boles, W.W. ; Chu, S.Y.T.

Author_Institution

Signal Process. Res. Centre, Queensland Univ. of Technol., Brisbane, Qld., Australia

Volume

1

fYear

1997

fDate

4-4 Dec. 1997

Firstpage

295

Abstract

A prototype system for human identification using images of the palm is introduced. An image capture platform is constructed such that variation of the camera-to-palm distance is minimised to eliminate the need to compensate for scaling transformation. Appropriate lighting conditions are considered in order to enhance the palm features during image capture. The Hough transform is used to detect the palm features as approximated straight lines. Translation and rotation invariance are achieved by using the edge of the palm as a reference for all feature measurements.

Keywords

Hough transforms; feature extraction; fingerprint identification; identification; image enhancement; Hough transform; approximated straight lines; camera-to-palm distance variation; feature detection; feature measurements; fingerprint recognition; human identification; human palm images; image capture platform; lighting conditions; palm features enhancement; personal identification; prototype system; rotation invariance; scaling transformation; translation invariance; Cameras; Computer vision; Face recognition; Fingerprint recognition; Fingers; Humans; Image recognition; Object recognition; Prototypes; Security;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE

Conference_Location

Brisbane, Qld., Australia

Print_ISBN

0-7803-4365-4

Type

conf

DOI

10.1109/TENCON.1997.647315

Filename

647315