System and method for authentication

• US 10,127,447 B2
• Filed: 12/28/2015
• Issued: 11/13/2018
• Est. Priority Date: 03/12/2014
• Status: Active Grant

• Current Assignee: Clearmark Systems, LLC
• Original Assignee: Clearmark Systems, LLC
• Inventors: Duerksen, Gary L., Miller, Seth A.
• Primary Examiner(s): Savusdiphol, Paultep
• Application Number:
  US14/981,888
• Publication Number:
  US 20160196472A1
• Time in Patent Office: 1,051 Days
• Field of Search: 235454, 235375, 23547201
• CPC Class Codes: G01N 21/9501 Semiconductor wafers manufacturing processes per se of semiconductor devices implementing a measuring step H01L22/10
• CPC Class Codes: G06T 2207/10024 Color image
• CPC Class Codes: G06T 2207/30148 Semiconductor; IC; Wafer
• CPC Class Codes: G06T 7/0002 Inspection of images, e.g. flaw detection
• CPC Class Codes: G06T 7/001 using an image reference approach
• CPC Class Codes: G06V 10/44 Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
• CPC Class Codes: G06V 20/80 Recognising image objects characterised by unique random patterns
• CPC Class Codes: G06V 20/95 Pattern authentication; Markers therefor; Forgery detection
• CPC Class Codes: G06V 2201/06 Recognition of objects for industrial automation
• CPC Class Codes: G06V 30/10 Character recognition
• CPC Class Codes: G06V 30/224 of printed characters having additional code marks or containing code marks
• CPC Class Codes: G07D 7/12 Visible light, infrared or ultraviolet radiation
• CPC Class Codes: G07D 7/20 Testing patterns thereon G07D7/004, G07D7/005 take precedence
• CPC Class Codes: G09G 5/24 Generation of individual character patterns

Abstract

Described are methods and systems for determining authenticity. For example, the method may include providing an object of authentication, capturing characteristic data from the object of authentication, deriving authentication data from the characteristic data of the object of authentication, and comparing the authentication data with an electronic database comprising reference authentication data to provide an authenticity score for the object of authentication. The reference authentication data may correspond to one or more reference objects of authentication other than the object of authentication.

Claims

1. A method for determining authenticity, comprising:

providing an object of authentication;

capturing characteristic data from the object of authentication, comprising capturing an optical image of the object of authentication, comprising subjecting the object of authentication to one or more of;

imaging, profilometry, polarimetry, scatterometry, and microscopy;

deriving authentication data from the characteristic data of the object of authentication, comprising;

performing optical characterization recognition and font reconstruction of the optical image to provide a reconstructed font;

extracting from the reconstructed font one or more parameters of a polynomial spline or a Bezier curve spline representative of the reconstructed font to provide the authentication data comprising a spline font database, the authentication data comprising the spline font database corresponding to marking system data; and

comparing the authentication data with an electronic database comprising reference authentication data to provide an authenticity score for the object of authentication,

the reference authentication data corresponding to one or more reference objects of authentication other than the object of authentication, the reference authentication data comprising reference marking system data, the reference marking system data;

corresponding to a marking system used to mark the one or more reference objects of authentication; and

being derived from statistical testing of the reference authentication data, and

comparing the authentication data with the electronic database comprising comparing the marking system data with the reference marking system data to provide the authenticity score for the object of authentication.

2. The method of claim 1, capturing the characteristic data from the object of authentication further comprising subjecting the object of authentication to spectrometry.

3. The method of claim 1, deriving the authentication data from the characteristic data comprising analyzing the characteristic data using one or more of:

an image transform, statistical analysis, principle component analysis, optical character recognition analysis, font reconstruction, image analysis, polynomial spline fitting, Bezier curve spline fitting, Bezier curve extraction/characterization, Scalable Vector Graphic analysis, Unified Font Object analysis, image registration, wavelet analysis, and spatial frequency analysis.

4. The method of claim 1, comparing the authentication data to the electronic database comprising:

performing statistical testing of one or more of the authentication data and the reference authentication data; and

mathematically determining between the authentication data and the reference authentication data one or more of;

a similarity and a difference.

5. The method of claim 1, the electronic database excluding authentication data derived from the object of authentication.

6. The method of claim 1, the one or more reference objects of authentication comprising a plurality of reference objects of authentication belonging to the same family.

7. The method of claim 1, further comprising:

capturing reference characteristic data from the one or more reference objects of authentication;

deriving the reference authentication data from the reference characteristic data of the one or more reference objects of authentication; and

storing the reference authentication data in the electronic database.

8. The method of claim 7, deriving the reference authentication data from the reference characteristic data comprising analyzing the reference characteristic data using one or more of:

an image transform, statistical analysis, principle component analysis, optical character recognition analysis, font reconstruction, image analysis, polynomial spline fitting, Bezier curve spline fitting, Bezier curve extraction/characterization, Scalable Vector Graphic analysis, Unified Font Object analysis, image registration, wavelet analysis, and spatial frequency analysis.

9. The method of claim 1, further comprising reporting the authentication score, the authentication score comprising one or more of:

a Boolean value, a binned value, and a probability.

10. The method of claim 1:

capturing the characteristic data comprising capturing an optical image of markings on the object of authentication;

deriving the authentication data comprising providing the optical image of the markings for the comparing;

the reference authentication data comprising at least one reference authentication image corresponding to the one or more reference objects of authentication, comparing the authentication data with the electronic database comprising determining a mathematical similarity or difference between the optical image of the markings and the at least one reference authentication image to provide the authenticity score for the object of authentication, the authenticity score indicating whether the object of authentication has a same origin of manufacture as the one or more reference objects of authentication.

11. A tangible computer-readable medium having instructions stored thereon for controlling a processor, the instructions controlling the processor to:

operate a characterization module comprising a measurement system to capture characteristic data from an object of authentication, capturing the characteristic data comprising capturing an optical image of the object of authentication;

derive authentication data from the characteristic data of the object of authentication deriving the authentication data comprising;

performing optical characterization recognition and font reconstruction of the optical image to provide a reconstructed font, and

extracting from the reconstructed font one or more parameters of a polynomial spline or a Bezier curve spline representative of the reconstructed font to provide the authentication data comprising a spline font database, the authentication data comprising the spline font database corresponding to marking system data;

compare the authentication data with an electronic database comprising reference authentication data to provide an authenticity score for the object of authentication, the reference authentication data corresponding to one or more reference objects of authentication other than the object of authentication, the reference authentication data comprising reference marking system data, comparing the authentication data with the electronic database comprising comparing the marking system data with the reference marking system data to provide the authenticity score for the object of authentication, the reference marking system data;

corresponding to a marking system used to mark the one or more reference objects of authentication; and

being derived from statistical testing of the reference authentication data; and

access a data storage module to store and retrieve one or more of;

the authentication data, the electronic database comprising the reference authentication data corresponding to one or more reference objects of authentication other than the object of authentication, the characteristic data from the object of authentication, and the authenticity score;

the instructions being configured to control the processor comprising one or more of;

a local processor, an embedded processor, a distributed processor, a smart phone, a smart watch, a personal computer; and

a tablet computer;

the instructions being configured to control the processor to access the data storage comprising one or more of;

a memory operatively coupled to the processor and a remote storage system operatively coupled to the processor; and

the instructions being configured to control the measurement system comprising one or more of;

an imager, a profilometer, a scatterometer, a polarimeter, and a microscope.

12. The tangible computer-readable medium of claim 11, the instructions for controlling the processor further comprising instructions configured to control the measurement system comprising a spectrometer.