Image analysis – Applications – Personnel identification
Reexamination Certificate
2006-07-18
2006-07-18
Miriam, Daniel (Department: 2625)
Image analysis
Applications
Personnel identification
C382S115000
Reexamination Certificate
active
07079671
ABSTRACT:
Section images of a human body part are continuously input by relative movement with respect to a read unit in an image input step, a living body section image including a character shape from an input section image group in a character area section step, and, when living body section images which include character shapes which are chronologically continuous are selected, the living body section images are connected to each other to generate a connected living body image in an image connection step. In the collation step, the connected living body image including the character shapes and living body section images which include character shapes which are not connected to each other are collated with a corresponding portion in reference information of a human body part which is registered in advance to authenticate an identical person.
REFERENCES:
patent: 6182892 (2001-02-01), Angelo et al.
patent: 6317508 (2001-11-01), Kramer et al.
patent: 6459804 (2002-10-01), Mainguet
patent: 6898301 (2005-05-01), Iwanaga
patent: 6917694 (2005-07-01), Machida et al.
patent: 6980669 (2005-12-01), Uchida
patent: 2002/0049714 (2002-04-01), Yamazaki et al.
Lee “A 600-dpi Capacitive Fingerprint Sensor Chip and Image-Synthesis Technique”, IEEE, vol. 34, No. 4, Apr. 1999, pp. 469-475.
Fujii Yusaku
Morihara Takashi
Fujitsu Limited
Miriam Daniel
Staas & Halsey , LLP
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