Detection of document security marks using run profiles

• US 20070041628A1
• Filed: 08/17/2005
• Published: 02/22/2007
• Est. Priority Date: 08/17/2005
• Status: Abandoned Application

• Current Assignee: Shelf Reliance LLC, Xerox Corporation (Xerox Holdings Corp.)
• Original Assignee: Xerox Corporation (Xerox Holdings Corp.)
• Inventors: Fan, Zhigang
• Application Number:
  US11/205,830
• Publication Number:
  US 20070041628A1
• Time in Patent Office: Days
• US Class Current: 382/135
• CPC Class Codes: G06V 10/22 by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
• CPC Class Codes: H04N 1/00846 based on detection of a dedicated indication, e.g. marks or the like
• CPC Class Codes: H04N 1/00848 by detecting a particular original
• CPC Class Codes: H04N 1/00867 with additional data, e.g. by adding a warning message details of embedding additional information in an image H04N1/32144
• CPC Class Codes: H04N 2201/0091 Digital copier; digital 'photocopier' H04N2201/0093 and H04N2201/0094 take precedence

Abstract

A method and apparatus for preventing or inhibiting effective reproduction of documents such as currency, checks, stock certificates, and any other printed document including a pre-defined security mark printed therein. The method and apparatus operate to effect a multi-step review of all digital image data acquired from a printed document to be reproduced for purposes of locating any potential security marks and further examining same for purposes of positively identifying a potential security mark as an actual security mark. If a mark is located and verified to be an authentic security mark, effective reproduction of the printed document will not be permitted and/or other security measures will be taken. Processing speed is improved by using run profile analysis to limit the image features that are subjected to computationally intensive template matching operations. Run profiles are tracked using a finite automaton.

Claims

1. A method of digital image processing for a printed document potentially including a security mark defined by a plurality of actual mark constituents each having a known color, size, shape, and run profile, and said actual mark constituents having a select spatial arrangement relative to each other, said method comprising:

(a) scanning said printed document to obtain digital image data corresponding to said printed document, said digital image data defined in terms of a plurality of color input pixel values;

(b) processing said digital image data to identify all portions representing potential mark constituents of a security mark, wherein said processing comprises;

(i) determining a run profile for features represented in said digital image data;

(ii) comparing said run profile for each feature to the known run profile of an actual mark constituent to identify suspect components, wherein only features having said known run profile are identified as suspect components; and

, (iii) examining each suspect component to identify any suspect components that are potential mark constituents;

(c) for each potential mark constituent represented by said digital image data, determining if said potential mark constituent, together with at least one other potential mark constituent represented by said digital image data, defines a potential security mark;

(d) for each potential security mark represented in said digital image data, determining if said potential security mark represents an actual security mark present in said printed document.

2. The digital image processing method as set forth in claim 1 wherein said step (b)(i) determining a run profile for features represented in said digital image data comprises determining a run profile for features represented in said digital image data only if the digital image data representing said features represent a color that falls within a limited range of colors including the known color of actual mark constituents.

3. The digital image processing method as set forth in claim 1, wherein said step of (b)(iii) of examining each suspect component to identify any suspect components that are potential mark constituents comprises:

a size-checking step to check a size of each suspect component to determine if the size of the suspect component corresponds to the known size of an actual mark constituent.

4. The digital image processing method as set forth in claim 3, wherein said step of (b)(iii) of examining each suspect component to identify any suspect components that are potential mark constituents further comprises:

after the size-checking step, a template-matching step wherein each suspect component is compared to a template to determine if said suspect component has a shape corresponding to the known shape of an actual mark constituent.

5. The digital image processing method as set forth in claim 4 wherein said step (b) processing said digital image data to identify all portions of said digital image data representing potential mark constituents of a security mark comprises, before said steps (b)(i), (b)(2) and (b)(3):

constructing a binary bitmap corresponding to said digital image data obtained from said scanning step, said bitmap defined by a plurality of pixels each having either an “

on”

or “

off”

pixel value, said “

on”

pixel values of said bitmap corresponding in position to said color input pixel values of said digital image data that represent a color that falls in a limited range of colors including the known color of an actual mark constituent.

6. The digital image processing method as set forth in claim 1 wherein said step (c) of determining if each potential mark constituent, together with at least one other potential mark constituent, represents a potential security mark comprises:

counting a total number of potential mark constituents located in a select neighborhood surrounding each potential mark constituent.

7. The digital image processing method as set forth in claim 6 wherein said step (c) of determining if each potential mark constituent, together with at least one other potential mark constituent, represents a potential security mark further comprises:

identifying a neighborhood as representing a potential security mark only if;

(i) said neighborhood includes an acceptable number of potential mark constituents;

(ii) said distances between potential mark constituents in said neighborhood define a superset of distances separating actual mark constituents of said security mark potentially present in said printed document; and

, (iii) said potential mark constituents in said neighborhood are arranged spatially relative to each other in a manner that corresponds with the select spatial arrangement of actual mark constituents of a security mark potentially defined in said printed document.

8. The digital image processing method as set forth in claim 7 wherein the spatial arrangement of potential mark constituents in a neighborhood is based upon both:

(i) the distances separating each potential mark constituent from other potential mark constituents; and

, (ii) the relative angular position of each potential mark constituent to the other potential mark constituents in the neighborhood.

9. The digital image processing method as set forth in claim 8 wherein determining the relative angular position of each potential mark constituent relative to the other potential mark constituents comprises:

identifying a neighborhood as a potential security mark only if said distances separating potential mark constituents result from said potential mark constituents being arranged at a spatial location relative to each other that is the same as the known spatial arrangement of actual mark constituents potentially defining a security mark in the printed document.

10. The digital image processing method as set forth in claim 1 wherein step (d) of determining if said potential security mark represents an actual security mark comprises:

checking at least dimensional uniformity and color uniformity among all potential mark constituents defining the potential security mark; and

identifying a potential security mark as representing an actual security mark only if said potential mark constituents thereof have uniform dimensions and color relative to each other.

11. A digital image processing method for preventing unauthorized reproduction of a printed document including a security mark defined in terms of a plurality of actual mark constituents having a known quantity, a known color, known dimensions, a known run profile, and arranged in a known pattern relative to each other, said method comprising:

a. scanning said printed document to derive color digital data representing said printed document, said color digital data defined in terms of a plurality of pixels each having a color value;

b. identifying all pixels of said color digital data having a color value representing a color at least approximating said known color of said plurality of actual mark constituents;

c. constructing a binary map of said color digital data defined in terms of “

on” and

“

off”

pixels, said “

on”

pixels corresponding to said identified pixels of said color digital data having color values at least approximating said known color of said plurality of actual mark constituents;

d. (i) processing said binary map to identify all suspect components, wherein a suspect component is an image feature having said known run profile of a security mark; and

, (ii) examining each suspect component to determine if the suspect component is a potential mark constituent;

e. using said binary map, identifying at least one neighborhood of plural potential mark constituents together defining a potential security mark;

f. identifying said potential security mark as an actual security mark if said potential mark constituents thereof are uniform relative to each other; and

g. preventing effective duplication of said printed document if an actual security mark is identified.

12. The digital image processing method as set forth in claim 11 wherein said step (d)(ii) comprises:

comparing dimensions of each suspect component to the known dimensions of an actual mark constituent; and

identifying a suspect component as a potential mark constituent only if the dimensions of said suspect component correspond to the known dimensions of an actual mark constituent.

13. The digital image processing method as set forth in claim 12 wherein said step of comparing the dimensions of each suspect component to the known dimensions of an actual mark constituent comprises:

comparing a width of the suspect component to minimum and maximum width values of an actual mark constituent;

comparing a height of the suspect component to minimum and maximum height values of an actual mark constituent.

14. The digital image processing method as set forth in claim 13 wherein said step of comparing dimensions of each suspect component to the known dimensions of an actual mark constituent further comprises:

only for each suspect component having a width encompassed by said minimum and maximum width values and having a height encompassed by said minimum and maximum height values, comparing the suspect component to at least one template, wherein said suspect component is identified as a potential mark constituent if said suspect component matches said at least one template.

15. The digital image processing method as set forth in claim 11 wherein said step (e) comprises, for each potential mark constituent:

establishing a neighborhood about the potential mark constituent;

counting the number of potential mark constituents located in the neighborhood;

comparing the number of potential mark constituents in the neighborhood to the known quantity of potential mark constituents used to define an actual security mark; and

identifying a neighborhood as a potential security mark if the number of potential mark constituents therein is equal to or greater than the number of actual mark constituents required to define an actual security mark.

16. The digital image processing method as set forth in claim 11 wherein said step (f) of identifying an actual security mark comprises:

comparing all potential mark constituents of a potential security mark to each other and identifying a potential security mark as an actual security mark if the potential mark constituents defining the potential security mark are uniform relative to each other in terms of at least color and size.

17. The digital image processing method as set forth in claim 15 wherein said neighborhood established about each potential mark constituent has a radius based upon a predefined maximum distance between any two actual mark constituents defining an actual security mark in said printed document.

18. The digital image processing method as set forth in claim 15 further comprising, prior to identifying a neighborhood as a potential security mark:

determining the distances between potential mark constituents in said neighborhood; and

identifying a neighborhood as a potential security mark only if the distances between potential mark constituents define a superset of distances between actual mark constituents of an actual security mark in said printed document.

19. A document reproduction apparatus comprising:

means for scanning a printed document to derive color digital image data representative of said printed document;

means for identifying all features represented by said digital image data as having a color encompassed by a select color range used to define a security mark in said printed document;

means for identifying said features as suspect component features only if said features define a select run profile;

means for identifying a suspect component feature as a potential mark constituent if said suspect component feature has both a size and shape corresponding to a known size and shape of an actual mark constituent used to define the security mark in said printed document;

means for establishing a neighborhood of a select size about each potential mark constituent;

means for identifying as a potential security mark all neighborhoods comprising a number of potential mark constituents greater than or equal to a minimum number of said actual mark constituents required to define a security mark, with said potential mark constituents arranged relative to each other in a manner corresponding to the actual mark constituents defining said security mark in said printed document;

means for processing said digital image data of each neighborhood identified as a potential security mark to identify said potential security mark as an actual security mark if said potential mark constituents in said neighborhood are uniform in terms of at least size and color; and

,

means for preventing effective reproduction of said printed document if said digital image data comprises an actual security mark.

20. The document reproduction apparatus as set forth in claim 19, wherein said means for identifying said features as suspect component features only if said features define a select run profile comprises:

means for analyzing each scanline using a plurality of overlapping windows;

means for detecting a number of pixel runs in each of said plurality of windows;

means for implementing a plurality of finite automatons to track the number of pixel runs detected in the plurality of windows, respectively, as each window processes pixels from all successive scanlines of said bitmap.