System, method and computer-accessible medium for authenticating physical objects using microscopic textures

Patent metadata

Field	Value
Publication number	US-9759902-B2
Application number	US-201414905573-A
Country	US
Kind code	B2
Filing date	Jul 21, 2014
Priority date	Jul 19, 2013
Publication date	Sep 12, 2017
Grant date	Sep 12, 2017

Abstract

An exemplary lens arrangement can be provided that includes a plurality of lenses configured to provide a field of view (FOV) of between about 9 mm×6 mm to about 15 mm×12 mm, a resolution at at least one edge of the lenses of between about 40 lp/mm to about 100 lp/mm, and a distortion between about 0.1% to about 1%.

First claim

What is claimed is:

1. A non-transitory computer-accessible medium having stored thereon computer-executable instructions for enrolling at least one physical object for verification, wherein, when a computer arrangement executes the instructions, the computer arrangement is configured to perform procedures comprising:
receiving information related to a microscopic texture of the at least one physical object; and
enrolling the at least one physical object for verification by storing the information in at least one database;
wherein the information is generated by a lens arrangement, comprising:
a field of view (FOV) of between about 9 mm×6 mm to about 15 mm×12 mm,
a resolution at at least one edge of the lenses of between about 40 lp/mm to about 100 lp/mm, and
a distortion between about 0.1% to about 1%.

2. The computer-accessible medium of claim 1 , wherein the computer arrangement is further configured to generate the information by causing a variation of at least one of at least one lighting condition, at least one wavelength or at least one focal length on a surface of the at least one physical object.

3. The computer-accessible medium of claim 1 , wherein the computer arrangement is further configured to link the information to catalog information of the at least one physical object, wherein the catalog information includes at least one of (i) a serial number, (ii) a barcode, (iii) a name, (iv) a model number, (v) at least one material, (vi) at least one spectral property or (vii) at least one composition.

4. The computer-accessible medium of claim 1 , wherein the computer-accessible medium is provided on a mobile device, and further comprising at least one connection arrangement connected to the mobile device configured to transmit the information, and wherein the at least one connection arrangement is at least one of Bluetooth, Wi-Fi, Ethernet or USB.

5. The computer-accessible medium of claim 4 , wherein the mobile device is at least one of a mobile phone, a tablet or a personal computer.

6. The computer-accessible medium of claim 1 , wherein the computer arrangement is further configured to generate at least one local descriptor and at least one global descriptor based on the information.

7. The computer-accessible medium of claim 6 , wherein the computer arrangement is further configured to:
receive further information related to a further microscopic texture of the at least one physical object;
generate at least one further local descriptor and at least one further global descriptor based on the further information;
compare (i) the at least one further local descriptor to the at least one local descriptor and (ii) the at least one further global descriptor to the at least one global descriptor; and
verify an authenticity of the at the at least one physical object if (i) the at least one further local descriptor substantially matches the at least one local descriptor and (ii) the at least one further global descriptor substantially matches the at least one global descriptor.

8. The computer-accessible medium of claim 7 , wherein the computer arrangement is further configured to verify the authenticity if the match is above a particular threshold.

9. The computer-accessible medium of claim 7 , wherein the computer arrangement is further configured to verify the authenticity if key-point coordinates of the at least one further local descriptor and the at least one further global descriptor satisfy a geometric consistency property.

10. The computer-accessible medium of claim 1 , wherein the computer arrangement is further configured to:
receive further information related to a further microscopic texture of the at least one physical object;
compare the further information to the first information; and
verify an authenticity of the at the at least one physical object if the further information substantially matches the first information.

11. The computer-accessible medium of claim 1 , wherein the at least one physical object includes at least one of (i) luxury goods, (ii) pharmaceuticals, (iii) cosmetics, (iv) toys, (v) sporting goods, (vi) art and collectibles, (vii) bearer bonds and coupons, (viii) consumer goods, (ix) electronics or (x) paper documents.

12. A method for enrolling at least one physical object for verification, comprising:
receiving information related to a microscopic texture of the at least one physical object; and
using a computer hardware arrangement, enrolling the at least one physical object for verification by storing the information in at least one database;
wherein the information is generated by a lens arrangement, comprising:
a field of view (FOV) of between about 9 mm×6 mm to about 15 mm×12 mm,
a resolution at at least one edge of the lenses of between about 40 lp/mm to about 100 lp/mm, and
a distortion between about 0.1% to about 1%.

13. A system for enrolling at least one physical object for verification, comprising:
a computer arrangement configured to:
receive information related to a microscopic texture of the at least one physical object; and
enroll the at least one physical object for verification by storing the information in at least one database;

wherein the information is generated by a lens arrangement, comprising:
a field of view (FOV) of between about 9 mm×6 mm to about 15 mm×12 mm,
a resolution at at least one edge of the lenses of between about 40 lp/mm to about 100 lp/mm, and
a distortion between about 0.1% to about 1%.

14. The computer-accessible medium of claim 1 , wherein
the lens arrangement further comprises:
at least six lenses, wherein at least three of the lenses each has a convex surface and a concave surface, at least two of the lenses each has two convex surfaces, and at least one of the lenses has two concave surfaces.

15. The computer-accessible medium of claim 14 , wherein (i) a first lens of the at least three of the lenses has a first side having a convex surface and a second side having a concave surface, (ii) a second lens of the at least three of the lenses has a third side having a concave surface and a fourth side having a convex surface, the third side being adjacent to the second side of the first lens, and (iii) a third lens of the at least three of the lenses has a fifth side having a concave surface and a sixth side having a convex surface, the fifth side being adjacent to the fourth side of the second lens.

16. The computer-accessible medium of claim 15 , wherein (i) a fourth lens of the at least two of the lenses has a seventh side having a convex surface and an eighth side having a convex surface, the seventh side being adjacent to the sixth side of the third lens, (ii) a fifth lens of the at least one of the lenses has a ninth side having a concave surface and a tenth side having a concave surface, the ninth side being adjacent to the eighth side of the fourth lens, and (iii) a sixth lens of the at least two of the lenses has an eleventh side having a convex surface and a twelfth side having a convex surface, the eleventh side being adjacent to the tenth side of the fifth lens.

17. The computer-accessible medium of claim 14 , wherein a space between each of the lenses is about 5 microns.

18. The computer-accessible medium of claim 1 , wherein (i) the FOV is about 12 mm×9 min, (ii) the resolution at the at least one edge of the lenses is about 100 lp/mm, and (iii) the distortion is about 1%.

19. The computer-accessible medium of claim 1 , wherein the lens arrangement has an asymmetrical Double Gauss architecture.

Assignees

• Univ New York

Inventors

• Sharma Ashlesh
• Srinivasan Vidyuth
• Subramanian Lakshminarayanan

Classifications

• G02B21/365 Primary

  Control or image processing arrangements for digital or video microscopes (G02B21/361, G02B21/362 take precedence) · CPC title

• G02B9/62 Primary

  having six components only · CPC title

• G02B13/24

  for reproducing or copying at short object distances · CPC title

• G06K9/209

  Physics · mapped topic

• G02B13/18

  with lenses having one or more non-spherical faces, e.g. for reducing geometrical aberration {(G02B13/002 takes precedence)} · CPC title