Machine readable binary codes

• US 5,825,015 A
• Filed: 10/18/1996
• Issued: 10/20/1998
• Est. Priority Date: 04/29/1994
• Status: Expired due to Fees

• Current Assignee: Marconi Data Systems Incorporated (Danaher Corporation)
• Original Assignee: Electronic Automation Limited
• Inventors: Chan, John Paul
• Primary Examiner(s): PITTS, HAROLD I
• Application Number:
  US08/722,083
• Time in Patent Office: 732 Days
• Field of Search: 235/494, 235/454
• US Class Current: 235/494
• CPC Class Codes: G06K 19/06037 multi-dimensional coding

Abstract

A machine readable binary code includes a two-dimensional matrix of data cells (6) having a plurality of sides. A unique sub-array of data cells (1, 2, 3, 4) is positioned at the point of intersection of each pair of adjacent sides to define and uniquely identify each corner of the matrix.

Claims

1. A machine readable binary code comprising a two dimensional matrix of data cells, said matrix having a plurality of sides, said binary code being arranged so that:

a sub-array of data cells is provided in the region of the point of intersection of each pair of adjacent sides;

each of which sub-arrays comprises a first group of data cells and a second group of data cells;

the configuration of which first group of data cells is the same for each sub-array;

each of which first groups of data cells comprises a distinctive pattern of "on" data cells which is recognisable by a reading device as denoting the presence of a corner;

the configuration of which second group of data cells is different for each sub-array;

each of which second groups of data cells is located between the corresponding said first group and the rest of the matrix and is recognizable by a reading device as uniquely identifying each corner of the matrix from the other corners.

2. A binary code reading apparatus for use with a machine readable binary code according to claim 1, the apparatus comprising:

image capture means; and

means for processing the captured image, to detect each corner of the machine readable binary code by detecting the first group of data cells of each sub-array, and to distinguish each corner from the other by scanning for the second group of data cells at specified locations.

3. A machine readable binary code according to claim 1, characterised in that at least one data cell from each of the said first groups lies outside the point of intersection of the two sides of the matrix closest to it.

4. A machine readable binary code according to claim 1 characterised in that the matrix is four sided and takes the form of a square or rectangle.

5. A machine readable binary code according to claim 4 characterised in that each of the first groups consists of a triangle of "on" cells, and each of the second group consists of two data cells, which are "on" and "off" in different combinations to uniquely identify each of the four corners from the other three.

6. A machine readable binary code according to claim 4 characterised in that each of the first groups consists of two data cells which are "on" and each of the second groups consists of two data cells which are "on" and "off" in different combinations to uniquely identify each of the four corners from the other three.

7. A machine readable binary code according to claim 5 characterised in that the two data cells from each of the said second groups uniquely identify each of the four corners from the other three as follows:

Principle corner--1st data cell "on", 2nd "on"

Second corner--1st data cell "on", 2nd "off"

Third corner--1st data cell "off", 2nd "on"

Fourth corner--1st data cell "off", 2nd "off".

8. A machine readable binary code according to claim 4, wherein the density of the matrix is determined by counting the number of data cells in the leading diagonal extending from a principal or reference corner to the opposite corner of the array and all the data cells in the leading diagonal are "on".

9. A method of detecting and identifying the corners of a machine readable code according to claim 1 in which the code is optically scanned and a pattern matching technique is used to detect the first group of data cells of each sub-array and, having detected a sub-array by the presence of a first group, the identity of that sub-array is determined by scanning for the said second group of data cells at specified locations.