OBJECT IDENTIFICATION USING BARCODE READER

• US 20130001290A1
• Filed: 06/29/2011
• Published: 01/03/2013
• Est. Priority Date: 06/29/2011
• Status: Active Grant

• Current Assignee: Symbol Technologies, LLC (Zebra Technologies Corporation)
• Original Assignee: Symbol Technologies, Inc. (Zebra Technologies Corporation)
• Inventors: Trajkovic, Miroslav, Doorty, Andrew M., Madej, Dariusz J.
• Granted Patent: US 8,528,820 B2
• Time in Patent Office: Days
• US Class Current: 235/375
• CPC Class Codes: G07G 1/0054 with control of supplementary check-parameters, e.g. weight or number of articles
• CPC Class Codes: G07G 1/0063 with means for detecting the geometric dimensions of the article of which the code is read, such as its size or height, for the verification of the registration
• CPC Class Codes: G07G 1/0081 the reader being a portable scanner or data reader G07G1/009 takes precedence

Abstract

A barcode reader for verifying a barcode is attached to an appropriate object particularly suitable for use at a point of sale. A database of expected object signatures in a vicinity of a properly affixed barcode properly is maintained. At a point of sale, the barcode reader obtains an image of a presented barcode (possibly not the correct barcode) and at least a portion of an object to which the presented barcode is affixed. Using data encoded on the presented barcode, the database is accessed to provide an expected signature of the object in the region of the presented barcode. A comparison is made between the expected signature of the object and a sensed signature derived from the image of the object. An improper barcode can thus possibly be identified and further investigation initiated.

Claims

1. A method of verifying a barcode is attached to an appropriate object comprising:

maintaining a database of an expected object signatures in a vicinity of barcodes properly affixed to associated objects;

at a point of sale, obtaining an image of a presented barcode and at least a portion of an object to which the presented barcode is affixed;

using data encoded on the presented barcode to access the database to determine the expected signature of the object in the region of the presented barcode;

determining a sensed signature derived from the image of the object to which the presented barcode is affixed;

comparing the expected signature of the object with the sensed signature; and

providing an indication of the results of the comparing.

2. The method of claim 1 wherein the sensed signature is used to update an object signature within the database.

3. The method of claim 1 wherein an portion of the image within a barcode boundary is used to enhance a portion of the image outside the barcode boundary that includes the object to which the presented barcode is affixed.

4. The method of claim 1 wherein the sensed signature includes a numeric indication based on data compression of the grey scale or color contents of an image of the object near the presented barcode and a mismatch between the object and the presented barcode is indicated if a difference in the numeric indication for the sensed and expected signature exceeds a threshold.

5. The method of claim 1 wherein a region of the image surrounding the presented barcode that is evaluated to create the sensed signature is variable based on the contents of the image.

6. The method of claim 1 wherein a size of a bounding box that contains decoded bar code is used to normalize or scale image features when comparing the sensed and expected signatures.

7. The method of claim 1 wherein the sensed and expected signatures for an object are based on one or more object characteristics.

8. The method of claim 7 wherein at least one characteristic is presence of object edges near the presented barcode.

9. The method of claim 7 wherein at least one characteristic is presence of a graphic near the presented barcode.

10. The method of claim 7 wherein at least one characteristic is contents of a bit mapped image near the presented barcode.

11. The method of claim 7 wherein the at least one characteristic comprises a graphical feature chosen from the group of:

corners, line segments, moments, Fourier or wavelet co-efficients of an original or a gradient image, moments, Zernike moments, or principal components.

12. The method of claim 7 wherein a bi-optic scanner having multiple cameras captures multiple images of an object and wherein object signatures from multiple views of the object are obtained and compared with expected signatures.

13. Apparatus for verifying that a barcode is attached to an appropriate object comprising:

a memory for storing a database of expected characteristics in a vicinity of barcodes that are properly affixed to associated objects;

a point of sale barcode reader for imaging a presented barcode and comprising optics having a field of view sufficient to obtain an image of the presented barcode and at least a portion of an object to which the presented barcode is affixed;

a controller for interpreting the presented barcode using data contained in the barcode to access the database and determine an expected signature of the object and for deriving a sensed signature from the image of the object in the region of the presented barcode;

said controller programmed to perform a comparison between the expected signature of the object with the sensed signature derived from the image of the object to which the presented barcode is affixed; and

an indicator coupled to the controller for indicating a result of the comparison.

14. The apparatus of claim 13 wherein the database is maintained on an in store server that communicates by means of a network with a plurality of point of sale barcode readers.

15. The apparatus of claim 13 wherein the point of sale barcode reader comprises a barcode reader memory that stores at least a portion of the database.

16. The apparatus of claim 13 wherein the expected and sensed signatures are derived by the controller from a compressed representation of a bitmapped image.

17. The apparatus of claim 13 wherein the bar code reader has multiple cameras for capturing different views of an object.

18. Apparatus for verifying a barcode is attached to an appropriate object comprising:

means for maintaining a database of an expected object signature in a vicinity of a barcodes properly affixed to associated objects;

means for obtaining an image of a presented barcode and at least a portion of an object to which the presented barcode is affixed;

means for accessing the database to determine the expected signature of the object in the region of the presented barcode based on the contents of the presented barcode;

means for determining a sensed signature derived from the image of the object to which the presented barcode is affixed;

means for comparing the expected signature of the object with the sensed signature; and

means for providing an indication of the results of the comparing.