Image analysis – Applications – Personnel identification
Patent
1997-03-05
1999-11-30
Boudreau, Leo H.
Image analysis
Applications
Personnel identification
G06K 900
Patent
active
059956410
DESCRIPTION:
BRIEF SUMMARY
BACKGROUND OF THE INVENTION
1. Field of the Invention
The present invention relates to a method for renewing dictionary image data in a fingerprint identification device, and particularly to a method for renewing dictionary images in a fingerprint identification device, in which dictionary identification time can be shortened.
The present invention relates to a method for renewing dictionary images in a fingerprint identification device, and particularly to a method for renewing dictionary images in a fingerprint identification device, in which the dictionary images can be kept in the best condition.
The present invention relates to a dictionary registration and identification method for a fingerprint identification device, and particularly to a multiple-dictionary registration and identification method for a fingerprint identification device, in which an identification rate is improved by registering and identifying a plurality of dictionaries.
The present invention relates to a method for judging fingerprinting in a fingerprint identification device, and particularly to a fingerprinting judging method in a fingerprint identification device, in which continuous identification rejections can be prevented.
The present invention relates to a fingerprint identification device which can prevent misjudgment in identifying a fingerprint and to a fingerprinting judging method.
2. Description of the Related Art
In a fingerprint identification device, by identifying an entered fingerprint image with fingerprint dictionary data previously registered in a dictionary memory to judge whether or not the entered fingerprint image corresponds to a finger of a particular person whose dictionary data is previously registered in the fingerprint identification device.
In such a case, it is desired that time required for dictionary identification can be shortened by enabling to quickly identify the conformity with the multiple dictionary data to be used for identification.
The fingerprint dictionary data is image data of multiple characteristic parts, such as ending points and bifurcation points, of a fingerprint image extracted by a sensor and registered together with its coordinate data, and when the entered fingerprint image is detected to conform with some of such characteristic data, it is determined to be identification pass.
On the other hand, in fingerprinting by using a sensor, it has been experienced that fingerprints are relatively easily deformed depending on the position of fingers on a fingerprinting surface, the magnitude of pressing a finger against the fingerprinting surface or the like, and the fingerprint image to be taken into the fingerprint identification device is varied.
Therefore, if dictionary data is registered as many as possible on the same person, various cases can be covered even when the fingerprints are deformed as described above. Adopting a method of determining as an identification pass when the entered fingerprint image matches with any one of dictionary images, an identification match rate (acceptance rate) of the fingerprint identification device can be improved.
FIG. 14 shows the configuration of conventional dictionary data, in which (a) indicates all dictionary data, (b) dictionary data on one person within all dictionary data, and (c) one characteristic data in the dictionary data on one person.
All dictionary data comprises dictionary data on M to-be-identified persons (1 to M), for example. Dictionary data on one person comprises N minutiae (minutiae 1 to N), for example. And, one minutia data comprises image data on minutiae and its coordinate data in a prescribed window.
In the fingerprint identification device, by using dictionary data having N minutia data registered therein, pattern matching is made from minutia 1 in order with respect to the entered fingerprint image which is taken in at the fingerprint identification, and if a pattern matches on, for example, L minutia data, it is determined as identification pass.
FIG. 15 shows an example of identifying minutiae in which (a
REFERENCES:
patent: 3743421 (1973-07-01), Maloney
patent: 4805223 (1989-02-01), Denyer
patent: 5187747 (1993-02-01), Capello et al.
patent: 5241606 (1993-08-01), Horie
patent: 5633947 (1997-05-01), Sibbald
Boudreau Leo H.
Fujitsu Denso Ltd.
Mehta Bhavesh
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