Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Fingerprint input based on scattered-light detection

Not Accessible

Your library or personal account may give you access

Abstract

The principles of fingerprint imaging are based on scattered-light detection, and the technique is proposed for a compact input device. Light enters a glass plate from its edge and propagates inside the plate by repeating the total internal reflection at the boundaries with air. The ridges of a finger pressed onto the plate scatter the light, which then leaks out of the plate. This scattered light is imaged by an array of gradient-index optical fibers and an image sensor. A prototype sensor has been developed: The distance between the finger and the image sensor is 13 mm. The images obtained with this prototype clearly show not only the ridges and valleys but also the pores in the ridges.

© 1997 Optical Society of America

Full Article  |  PDF Article
More Like This
Recognition of living fingers with a sensor based on scattered-light detection

Katsuki Tai, Masashi Kurita, and Ichiro Fujieda
Appl. Opt. 45(3) 419-424 (2006)

TECHNICAL NOTE Prism fingerprint sensor that uses a holographic optical element

R. D. Bahuguna and Tom Corboline
Appl. Opt. 35(26) 5242-5245 (1996)

Real-time fingerprint sensor using a hologram

Seigo Igaki, Shin Eguchi, Fumio Yamagishi, Hiroyuki Ikeda, and Takefumi Inagaki
Appl. Opt. 31(11) 1794-1802 (1992)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (12)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.