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Title: US5995640: System and method for determining if a fingerprint image contains an image portion representing a dry fingerprint impression
[ Derwent Title ]


Country: US United States of America

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22 pages

 
Inventor: Bolle, Rudolf Maarten; Bedford Hills, NY
Pankanti, Sharathchandra Umapatirao; Mt. Kisco, NY
Yao, Yi-Sheng; Scarsdale, NY

Assignee: International Business Machines Corporation, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
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Published / Filed: 1999-11-30 / 1996-10-23

Application Number: US1996000735721

IPC Code: Advanced: G06K 9/00;
Core: more...
IPC-7: G06K 9/00;

ECLA Code: G06K9/00A1; G06K9/00Q;

U.S. Class: Current: 382/124; 382/125; 382/272;
Original: 382/124; 382/125; 382/272;

Field of Search: 382/124,125,126,116,274,266,263,272 283/068,69,78 356/071 340/825.34

Priority Number:
1996-10-23  US1996000735721

Abstract:     A fingerprint image is divided into blocks of pixels. The blocks are also determined to be within the foreground or background of the image. A dryness process determines a mean intensity of pixels within each foreground block, a second mean intensity of pixels for those pixels whose intensities are smaller than the mean intensity, a standard deviation of intensities of all pixels within the respective foreground block, and a contrast measure being a function of a first ratio of the second mean intensity to the standard deviation. A comparator that determines that the foreground block is a dry block if the contrast measure is larger than a dryness threshold and that the image is a dry image if a second ratio of the number of dry blocks to total number of foreground blocks is larger than a third dryness threshold.

Attorney, Agent or Firm: Percello, Louis J. ;

Primary / Asst. Examiners: Kelley, Christopher S; Chawan, Sheela

INPADOC Legal Status: Show legal status actions

Family: None

First Claim:
Show all 18 claims
We claim:     1. A system for determining whether fingerprint images contain dry impressions comprising:
  • a computer comprising at least one central processing unit, at least one memory, and at least one input device;
  • at least one fingerprint image having a foreground and a background and being acquired by the input device and stored in the at least one memory, the at least one fingerprint image further comprising a plurality of blocks of pixels;
  • a dryness process that operates on said computer for determining a mean intensity of pixels within each foreground block of pixels, for determining a second mean intensity of pixels for those pixels within the respective foreground block of pixels whose intensities are less than the mean intensity, and for determining a standard deviation of intensities of all pixels within the respective foreground block of pixels, wherein a contrast measure is a function of a first ratio of the determined second mean intensity to the determined standard deviation; and
  • a comparator that determines that the foreground block of pixels is a dry block if the contrast measure is greater than a dryness threshold, and that further determines that the fingerprint image is a dry image if a second ratio of the number of dry blocks to a total number of foreground blocks is larger than a second dryness threshold.


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Forward References: Show 8 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (8)   |   Backward references (27)   |   Citation Link

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PDF
Patent  Pub.Date  Inventor Assignee   Title
Buy PDF- 50pp US4151512  1979-04 Riganati et al.  Rockwell International Corporation Automatic pattern processing system
Buy PDF- 23pp US4310827  1982-01 Asai  Nippon Electric Co., Ltd. Device for extracting a density as one of pattern features for each feature point of a streaked pattern
Buy PDF- 25pp US4574393  1986-03 Blackwell et al.   Gray scale image processor
Buy PDF- 35pp US4728186  1988-03 Eguchi et al.  Fujitsu Limited Uneven-surface data detection apparatus
Buy PDF- 17pp US4752966  1988-06 Schiller  Fingermatrix, Inc. Fingerprint identification system
Buy PDF- 68pp US4817183  1989-03 Sparrow   Fingerprint recognition and retrieval system
Buy PDF- 25pp US4896363  1990-01 Taylor et al.  ThumbScan, Inc. Apparatus and method for matching image characteristics such as fingerprint minutiae
Buy PDF- 6pp US4936680  1990-06 Henkes et al.  General Electric Company Method of, and apparatus for, edge enhancement of fingerprint minutia
Buy PDF- 13pp US4947442  1990-08 Tanaka et al.  NEC Corporation Method and apparatus for matching fingerprints
Buy PDF- 29pp US5067162  1991-11 Driscoll, Jr. et al.  Identix Incorporated Method and apparatus for verifying identity using image correlation
Buy PDF- 15pp US5109428  1992-04 Igaki et al.   Minutia data extraction in fingerprint identification
Buy PDF- 18pp US5140642  1992-08 Hsu et al.  Hsu; Wen Hsing Method and device for allocating core points of finger prints
Buy PDF- 14pp US5142592  1992-08 Moler   Method and apparatus for detection of parallel edges in image processing
Buy PDF- 7pp US5189482  1993-02 Yang  Goldstar Co., Ltd. Optical apparatus for fingerprint recognition system
Buy PDF- 15pp US5271064  1993-12 Dhawan et al.  University of Cincinnati Apparatus and method for smoothing regions and enhancing edges in gray scale images
Buy PDF- 12pp US5392367  1995-02 Hsu et al.   Automatic planar point pattern matching device and the matching method thereof
Buy PDF- 30pp US5420937  1995-05 Davis  The Phoenix Group, Inc. Fingerprint information extraction by twin tracker border line analysis
Buy PDF- 14pp US5442672  1995-08 Bjorkholm et al.   Three-dimensional reconstruction based on a limited number of X-ray projections
Buy PDF- 12pp US5524070  1996-06 Shin et al.  The Research Foundation of State University of New York Local adaptive contrast enhancement
Buy PDF- 16pp US5524161  1996-06 Omori et al.  NEC Corporation Fingerprint image processing system capable of simply processing minutiae
Buy PDF- 9pp US5524162  1996-06 Levien   Method and apparatus for adaptive sharpening of images
Buy PDF- 25pp US5613014  1997-03 Eshera et al.  Martin Marietta Corp. Fingerprint matching system
Buy PDF- 42pp US5631971  1997-05 Sparrow   Vector based topological fingerprint matching
Buy PDF- 36pp US5631972  1997-05 Ferris et al.   Hyperladder fingerprint matcher
Buy PDF- 9pp US5709746  1998-01 Ballard  Moore Business Forms, Inc. Self-contained fingerprint kit
Buy PDF- 19pp US5719958  1998-02 Wober et al.  Polaroid Corporation System and method for image edge detection using discrete cosine transforms
Buy PDF- 8pp US5737071  1998-04 Arndt  Identicator Corporation Method and apparatus for enhancing live-scan fingerprint reader images
       
Foreign References: None

Other References:
  • N. K. Ratha, S. Chen and A. K. Jain, "Adaptive Flow Orientation-Based Feature Extraction in Fingerprint Images," Pergamon, Pattern Recognition, vol.28, No.11, pp. 1657-1672, 1995. (16 pages) Cited by 22 patents [ISI abstract]
  • B. M. Mehtre, "Fingerprint Image Analysis for Automatic Identification," R and D Division, CMC Limited, 115 Sarojini Devi Road, Secunderabad-500 003, India, Machine Vision and Application Springer-Verlag 1993.
  • D. H. Ballard and Christopher M. Brown, "Computer Vision--Region Growing," Department of Computer Science, University of Rochester, Rochester, NY, Prentice-Hall, Inc., Englewood Cliffs, NJ 07632, pp. 149-150, 1982.


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