Decoding Extreme High Density 2D Matrix Barcodes: Circumventing Edge Aliasing

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Authors
Gerety, Eugene P.
Issue Date
2022-03-27
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Other
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en_US
Keywords
Decoding , Barcodes , Bit modeling
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Abstract
Any combination of printing and imaging technologies has inherent limitations with respect maximum achievable 2D matrix barcode density. State of the art decoding techniques rely heavily on code specific “helper features” like: reference edges, clock tracks, and ECC. This means: -Decoder cannot function without “helper” features -Even minor “helper” damage renders code unreadable -Maximum code density is limited -Localized bit grid distortions are not well accommodated Achieve reliable decoding of Extreme High Density 2D Barcodes (less than 2 image pixels per module) using: 1.“Alias disambiguation" at code densities high enough to produce aliasing in the code image 2.“Bit Modeling" to compensate for inherent linear and nonlinear behaviors of the printing and imaging processes
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