Self-registering spread-spectrum barcode method
Abstract
A novel spread spectrum barcode methodology is disclosed that allows a barcode to be read in its entirety even when a significant fraction or majority of the barcode is obscured. The barcode methodology makes use of registration or clocking information that is distributed along with the encoded user data across the barcode image. This registration information allows for the barcode image to be corrected for imaging distortion such as zoom, rotation, tilt, curvature, and perspective.
- Inventors:
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1175119
- Patent Number(s):
- 6814289
- Application Number:
- 09/870,391
- Assignee:
- Sandia Corporation
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06K - RECOGNITION OF DATA
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 96 KNOWLEDGE MANAGEMENT AND PRESERVATION
Citation Formats
Cummings, Eric B., and Even Jr., William R. Self-registering spread-spectrum barcode method. United States: N. p., 2004.
Web.
Cummings, Eric B., & Even Jr., William R. Self-registering spread-spectrum barcode method. United States.
Cummings, Eric B., and Even Jr., William R. Tue .
"Self-registering spread-spectrum barcode method". United States. https://www.osti.gov/servlets/purl/1175119.
@article{osti_1175119,
title = {Self-registering spread-spectrum barcode method},
author = {Cummings, Eric B. and Even Jr., William R.},
abstractNote = {A novel spread spectrum barcode methodology is disclosed that allows a barcode to be read in its entirety even when a significant fraction or majority of the barcode is obscured. The barcode methodology makes use of registration or clocking information that is distributed along with the encoded user data across the barcode image. This registration information allows for the barcode image to be corrected for imaging distortion such as zoom, rotation, tilt, curvature, and perspective.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2004},
month = {11}
}
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