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US 8,523,075 B2Granted
Barcode recognition using data-driven classifier
AssigneeApple Inc.
InventorRudolph van der Merwe
Life of this patent
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Abstract
A barcode decoding system and method are disclosed that use a data-driven classifier for transforming a potentially degraded barcode signal into a digit sequence. The disclosed implementations are robust to signal degradation through incorporation of a noise model into the classifier construction phase. The run-time computational cost is low, allowing for efficient implementations on portable devices.
Claims40
A method of recognizing a barcode, comprising:
- converting a barcode image into an electronic representation;
- extracting symbol feature vectors from the electronic representation to form a symbol feature vector sequence;
- and
- mapping the symbol feature vector sequence into a digit sequence, the mapping including using a classifier trained in a supervised manner from a dataset of simulated noisy symbol feature vectors with a known target class.
1 more element
A system for recognizing a barcode, comprising:
- one or more processors;
- memory coupled to the one or more processors and storing instructions, which, when executed by the one or more processors, cause the processors to perform operations comprising:
- converting a barcode image into an electronic representation;
- extracting symbol feature vectors from the electronic representation to form a symbol feature vector sequence;
- and
- mapping the symbol feature vector sequence into a digit sequence, the mapping including using a classifier trained in a supervised manner from a dataset of simulated noisy symbol feature vectors with a known target class.
3 more elements
Dependencies are inferred from the claim text.