Image analysis – Applications – Personnel identification
Reexamination Certificate
2008-07-22
2008-07-22
Bella, Matthew C. (Department: 2624)
Image analysis
Applications
Personnel identification
C382S209000, C382S154000, C382S298000, C382S283000, C358S001900, C358S001180, C358S452000
Reexamination Certificate
active
11068834
ABSTRACT:
An object recognition system utilizes a mask locator for extracting a mask area (M) from within a subject image in order to recognize the mask area (M) with a subject image. The mask locator (40) refers to density gradient directional images respectively converted from an image size template and the subject image, and analyzes these density gradient directional images particularly with respect to the density gradient directional values (θT, θS) assigned to each pixel in each directional images to obtain parameters linking the image size template to the mask area (M) to be registered with the image size template. The mask locator has a vote module (60) which gives candidates for the center of the mask by varying the parameters and votes on the candidates. Based upon the number of votes for the candidates, a detection module (70) designate one of the candidates having a maximum vote number as the center of the mask area (M), thereby determining the mask area (M) around thus designated candidate within the subject image for exact recognition of the object in the subject image.
REFERENCES:
patent: 2001/0002932 (2001-06-01), Matsuo et al.
patent: 09-073544 (1997-03-01), None
Furukawa Satoshi
Hagio Kenichi
Hirono Atsuyuki
Nakamoto Eiji
Bella Matthew C.
Cheng Law Group PLLC
Matsushita Electric & Works Ltd.
Rahmjoo Mike
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