Barcode Recognition Using Data-Driven Classifier
AssigneeApple Inc.
InventorsRudolph van der Merwe, Samuel Gordon Noble, Ralph Brunner
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. Implementations are disclosed for intelligent preview scaling, barcode-aware autofocus augmentation and multi-scale signal feature extraction.
Claims20
A method comprising:
- capturing a digital image of an object using a sensor of a device;
- and
- scaling the image to lie within a predefined image view area of a user interface presented on a display screen of the device, while a distance is maintained between the object and the sensor,
- where the method is performed by one or more processors.
A system comprising:
- one or more processors;
- memory configured for storing instructions, which, when executed by the one or more processors, causes the one or more processors to perform operations comprising:
- capturing a digital image of an object using a sensor of a device;
- and
- scaling the image to lie within a predefined image view area of a user interface presented on a display screen of the device, while a distance is maintained between the object and the sensor.
Dependencies are inferred from the claim text.