Barcode recognition using data-driven classifier
First Claim
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1. A method comprising:
- capturing a digital image of an object by a sensor of a device;
generating an image signal from the sensor;
calculating an envelope of the image signal at different spatial scales; and
filtering the envelope to extract object features,where the method is performed by one or more processors.
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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.
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Citations
10 Claims
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1. A method comprising:
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capturing a digital image of an object by a sensor of a device; generating an image signal from the sensor; calculating an envelope of the image signal at different spatial scales; and filtering the envelope to extract object features, where the method is performed by one or more processors. - View Dependent Claims (2, 3, 4, 5)
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6. A system comprising:
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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 by a sensor of a device; generating an image signal from the sensor; calculating an envelope of the image signal at different spatial scales; and filtering the envelope to extract object features. - View Dependent Claims (7, 8, 9, 10)
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Specification