IP Library › Granted Patent US 12,394,244
Granted Patent B2
US 12,394,244 · App. 18/809,541 · Granted Aug 19, 2025

Biological pattern information processing device, biological pattern information processing method, and program

Inventors: Kan Satou (Tokyo, JP); Yoshinori Suzuki (Tokyo, JP); Masanori Mizoguchi (Tokyo, JP); Masanori Hara (Tokyo, JP)
Assignee: NEC CORPORATION
G06V40/1376G06V40/1359
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,394,244
App. No.
18/809,541
Granted
Aug 19, 2025
Kind
B2
Abstract

A biological pattern information processing device includes: a biological pattern information acquisition unit that acquires biological pattern information indicating a biological pattern; and a singular region detection unit that detects a singular region including damage, from the biological pattern indicated by the acquired biological pattern information.

Claims (45)

1. A fingerprint image information processing device comprising:

at least one memory storing instructions; and

at least one processor configured to execute the instructions to:

acquire image information indicating an image of a finger;

detect a directional singular point of a ridge line from the image; and

detect a singular region indicating damage of the finger, by determining whether a detection result of the directional singular point satisfies a condition of any of an arch-shaped pattern, a loop-shaped pattern, a spiral-shape pattern, and a variant-shaped pattern.

2. The fingerprint image information processing device according to claim 1 ,

wherein the at least one processor is configured to execute the instructions to:

acquire ridge line direction information corresponding to a portion included in the image;

find an evaluation value for each ridge line direction information, based on a correlation between each ridge line direction information, and a template of an abnormal ridge line direction that is preliminary held, the evaluation value indicating a degree of possession of an abnormal ridge line direction pattern; and

detect a portion corresponding to ridge line direction information for which the evaluation value is equal to or greater than a predetermined threshold value, as the singular region.

3. The fingerprint image information processing device according to claim 1 ,

wherein the at least one processor is configured to execute the instructions to:

acquire ridge line direction information corresponding to a portion included in the image;

obtain smoothed ridge line direction information by performing direction smoothing processing for each ridge line direction information, based on ridge line direction information corresponding to a region located around a region corresponding to the ridge line direction information; and

detect a region corresponding to the ridge line direction information in which a difference between the ridge line direction information and the smoothed ridge line direction information is greater than a predetermined threshold value, as the singular region.

4. The fingerprint image information processing device according to claim 1 ,

wherein the at least one processor is configured to execute the instructions to:

acquire ridge line direction information and ridge line pitch information corresponding to a region included in the image;

find an evaluation value based on the ridge line direction information and the ridge line pitch information, the evaluation value taking a greater value as a difference in ridge line directions and a difference in ridge line pitches become greater between adjacent regions in the image; and

in a case where the evaluation value is greater than a predetermined threshold value, detect that the adjacent regions are a singular region due to cutout work.

5. The fingerprint image information processing device according to claim 1 ,

wherein the at least one processor is configured to execute the instructions to:

collate image information corresponding to a region other than the detected singular region among the acquired image information, and image information registered in advance in association with identifying information for identifying an individual.

6. The fingerprint image information processing device according to claim 5 , wherein the at least one processor is configured to execute the instructions to:

when performing the collation processing, make at least either one of a positional deviation allowance and a mismatch allowance variable, the positional deviation allowance representing a degree to which positional deviation is allowed, and the mismatch allowance representing a degree to which a mismatch is allowed.

7. The fingerprint image information processing device according to claim 5 ,

wherein the at least one processor is configured to execute the instructions to:

repair damage of the image information corresponding to the singular region in the obtained image information; and

regard a region corresponding to the repaired image information as the region other than the singular region, and perform the collation.

8. The fingerprint image information processing device according to claim 7 , wherein the at least one processor is configured to execute the instructions to:

exclude an exclusion region defined based on, the singular region, from the image, to thereby repair the damage.

9. The fingerprint image information processing device according to claim 7 ,

wherein the at least one processor is configured to execute the instructions to:

find an evaluation value for each portion included in the image, based on a correlation between ridge line direction information and a template of an abnormal ridge line direction pattern that is preliminary held, the evaluation value representing a degree to which the ridge line direction information has an abnormal ridge line directional pattern;

extract a straight line component of the evaluation value in the image; and

repair the damage by mutually replacing images included in a first polygon and a second polygon defined based on the extracted straight line components.

10. A fingerprint image information processing method executed by a computer, the method comprising:

acquiring image information indicating an image of a finger;

detecting a directional singular point of a ridge line from the image; and

detecting a singular region indicating damage of the finger, by determining whether a detection result of the directional singular point satisfies a condition of any of an arch-shaped pattern, a loop-shaped pattern, a spiral-shaped pattern, and a variant-shaped pattern.

11. A non-transitory computer-readable recording medium storing a computer-executable program, the program comprising:

instructions for acquiring image information indicating an image of a finger;

instructions for detecting a directional singular point of a ridge line from the image; and

instructions for detecting a singular region indicating damage of the finger, by determining whether a detection result of the directional singular point satisfies a condition of any of an arch-shaped pattern, a loop-shaped pattern, a spiral-shaped pattern, and a variant-shaped pattern.

Priority Claims (1)
JP 2015-074479 · Mar 31, 2015 · national
Continuity (4)
Continuation 18078232 · Dec 9, 2022
Continuation 17364164 · Jun 30, 2021
Continuation 15563211
Related Publication 20240412555A1 · Dec 12, 2024
References Cited (57)
US 5519785A · Hara · 1996 [cited by examiner]
US 5659626A · Ort · 1997 [cited by applicant]
US 5848176A · Hara · 1998 [cited by examiner]
US 5937082A · Funada · 1999 [cited by examiner]
US 6049621A · Jain · 2000 [cited by applicant]
US 8876299B2 · Song · 2014 [cited by examiner]
US 9418276B2 · Yamada · 2016 [cited by examiner]
US 10628657B2 · Mizoguchi · 2020 [cited by examiner]
US 10853620B2 · Mizoguchi · 2020 [cited by examiner]
US 10853621B2 · Mizoguchi · 2020 [cited by examiner]
US 10867160B2 · Mizoguchi · 2020 [cited by examiner]
US 10915728B2 · Norimatsu · 2021 [cited by examiner]
US 11055511B2 · Satou · 2021 [cited by examiner]
US 11557146B2 · Satou · 2023 [cited by examiner]
US 11776304B2 · Norimatsu · 2023 [cited by examiner]
US 20010036297A1 · Ikegami · 2001 [cited by applicant]
US 20020164056A1 · Funada · 2002 [cited by examiner]
US 20030021452A1 · Hamid · 2003 [cited by examiner]
US 20030076986A1 · Yoon · 2003 [cited by applicant]
US 20120189171A1 · Abiko · 2012 [cited by applicant]
US 20120195475A1 · Abiko · 2012 [cited by applicant]
US 20120224041A1 · Monden · 2012 [cited by examiner]
US 20130216095A1 · Yabuki · 2013 [cited by applicant]
US 20140374476A1 · Ban · 2014 [cited by applicant]
US 20160110583A1 · Kuo · 2016 [cited by applicant]
US 20160294555A1 · Jakobsson · 2016 [cited by applicant]
US 20180089483A1 · Norimatsu · 2018 [cited by examiner]
US 20180089484A1 · Satou · 2018 [cited by examiner]
US 20180173936A1 · Mizoguchi · 2018 [cited by examiner]
US 20190005302A1 · Mizoguchi · 2019 [cited by examiner]
US 20190005303A1 · Mizoguchi · 2019 [cited by examiner]
US 20190006302A1 · Mizoguchi · 2019 [cited by applicant]
US 20190019010A1 · Mizoguchi · 2019 [cited by examiner]
US 20210133414A1 · Norimatsu · 2021 [cited by examiner]
US 20210326552A1 · Satou · 2021 [cited by examiner]
US 20230127598A1 · Satou · 2023 [cited by examiner]
US 20240412555A1 · Satou · 2024 [cited by examiner]
JP 944666A · 1997 [cited by applicant]
JP 10167266A · 1998 [cited by applicant]
JP 2000057343A · 2000 [cited by applicant]
JP 2005346222A · 2005 [cited by applicant]
JP 2005352712A · 2005 [cited by applicant]
JP 201148602A · 2011 [cited by applicant]
JP 2013171325A · 2013 [cited by applicant]
WO 2011052036A1 · 2011 [cited by applicant]
WO 2011058836A1 · 2011 [cited by applicant]
Asker Bazen, “Fingerprint Identification: Feature Extraction, Matching, and Database Search”, Twente University, Aug. 19, 2002. [cited by applicant]
Carsten, et al., “Improving fingerprint alteration detection”, 9th International Symposium on Image and Signal Processing and Analysis (ISPA) IEEE, Zagreb, Croatia, Sep. 7, 2015, pp. 83-86 (4 pages total). [cited by applicant]
Communication dated Nov. 13, 2018, from the European Patent Office in counterpart European Application No. 16772933.4. [cited by applicant]
Decision to Grant a Patent dated Dec. 1, 2020 from the Japanese Patent Office in Application No. 2017-510082. [cited by applicant]
International Search Report for PCT/JP2016/060336 dated May 24, 2016 [PCT/ISA/210]. [cited by applicant]
Maltoni, et al., “Fingerprint Classification and Indexing”, Handbook of Fingerprint Recognition, Jan. 1, 2009, Springer, London, GB, pp. 235-269 (35 pages total). [cited by applicant]
Written Opinion for PCT/JP2016/060336 dated May 24, 2016 [PCT/ISA/237]. [cited by applicant]
Yoon, et al., “Altered Fingerprints: Analysis and Detection”, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Society, USA, Mar. 1, 2012, vol. 34, No. 3, pp. 451-464 (14 pages total). [cited by applicant]
Asker M. Bazen, “Fingerprint Identification—Feature Extraction, Matching, and Database Search” Twente University Press, Aug. 19, 2002, 181 pages. [cited by applicant]
Japanese Office Action for JP Application No. 2020-219680 mailed on Jan. 4, 2022 with English Translation. [cited by applicant]
Miyuki Miki et al., “Improvement of the Binarization Method for Fingerprint Images with Injury”, Transactions of Information Processing Society of Japan, vol. 43, No. 12, Information Processing Society of Japan, Dec. 15… [cited by applicant]