Fingerprint input based on scattered-light detection

Fujieda, Ichiro; Haga, Hiroshi

doi:10.1364/ao.36.009152

Cited by 24 publications

(15 citation statements)

References 2 publications

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“…A fingerprint sensor based on scattered light detection 4 should be able to detect information about the blood movement inside a finger more clearly. Its configuration is illustrated in Fig.8 (a).…”

Section: Sensor Based On Scattered Light Detectionmentioning

confidence: 99%

Signatures of live fingers extracted from a series of fingerprint images

2005

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Life recognition is desired for unattended fingerprint identification. We look at the color changes in a series of fingerprint images acquired during the course of an input action. As we press a finger upon an input device, a fingerprint area gradually increases and its color changes. This is due to the blood movements induced by a finger deformation. For example, we can declare a finger is alive if its color change exceeds a certain value. However, the color changes in the images acquired by a conventional device using a prism are very small. This is because the light reflected by the valley regions of a finger carries little information about the blood movements. We tried a fingerprint sensor based on scattered light detection. Here, a plastic plate serves as a light-guide for LEDs mounted on its edge. When a finger is pressed against the plate, the propagating light is scattered by the finger and leaks out of the plate. A standard color CCD camera placed near the plate captures the scattered light. Data extracted from more than ten people of different age groups indicate that there is a certain minimum value for the color changes.

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Section: Sensor Based On Scattered Light Detectionmentioning

confidence: 99%

Signatures of live fingers extracted from a series of fingerprint images

2005

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“…The light scattered by the fingers escapes the light-guide and a camera placed nearby capture an image of the fingers. The same principle was used to acquire a fingerprint (Fujieda and Haga 1997). Kurita et al (2005) demonstrated a pointing device by using a fingerprint sensor, where finger deformation provided the displacement information.…”

Section: Introductionmentioning

confidence: 99%

Detection of Finger Height for a Multi-Touch Mouse

Fujieda¹,

Okuda²,

Inoue³

et al. 2010

International Journal of Optomechatronics

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An image of multiple fingers is acquired by an input system that consists of a camera with a fisheye lens, infrared LEDs, and a transparent shell. When the LEDs illuminate fingers uniformly, the distance between the fingertips and the lens can be deduced by analyzing the intensity of the fingertip regions and/or the size of the fingers in the image. Azimuth and polar angles of the fingertips are obtained from the image directly. Repeating this process provides a series of three-dimensional coordinates of multiple fingertips. Such information might be useful for realizing a multi-touch mouse with height detection capability.

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“…Blob in current paper means a closed area in video frame that consist of adjacent pixels and meets predefined criteria's concerning: brightness, color, minimum and maximum size. Usually the blobs in video frame represent images of LED's (very bright and sharp spots) or touch points in systems based on frustrated total internal reflection (FTIR), a technique that comes from biometrics, where it is used for fingerprint image acquisition [9]. Blob detection means finding those areas in the image and creating a list of them with parameters (e.g.…”

Section: Introductionmentioning

confidence: 99%