Barcode recognition using data-driven classifier
    1.
    发明授权
    Barcode recognition using data-driven classifier 有权
    使用数据驱动分类器的条形码识别

    公开(公告)号:US08905314B2

    公开(公告)日:2014-12-09

    申请号:US13658765

    申请日:2012-10-23

    Applicant: Apple Inc.

    CPC classification number: G06K7/1447 G06K7/10811 G06K7/1443

    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.

    Abstract translation: 公开了一种使用数据驱动分类器将潜在恶化的条形码信号变换为数字序列的条形码解码系统和方法。 所公开的实施方式通过将噪声模型并入分类器构造阶段来稳健地信号劣化。 运行时计算成本低,允许在便携式设备上进行有效的实施。 公开了实现智能预览缩放,条形码识别自动对焦增强和多尺度信号特征提取。

    Barcode Recognition Using Data-Driven Classifier
    2.
    发明申请
    Barcode Recognition Using Data-Driven Classifier 审中-公开
    使用数据驱动分类器的条形码识别

    公开(公告)号:US20150090797A1

    公开(公告)日:2015-04-02

    申请号:US14563949

    申请日:2014-12-08

    Applicant: Apple Inc.

    CPC classification number: G06K7/1447 G06K7/10811 G06K7/1443

    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.

    Abstract translation: 公开了一种使用数据驱动分类器将潜在恶化的条形码信号变换为数字序列的条形码解码系统和方法。 所公开的实施方式通过将噪声模型并入分类器构造阶段来稳健地信号劣化。 运行时计算成本低,允许在便携式设备上进行有效的实施。 公开了实现智能预览缩放,条形码识别自动对焦增强和多尺度信号特征提取。

    Barcode recognition using data-driven classifier
    3.
    发明授权
    Barcode recognition using data-driven classifier 有权
    使用数据驱动分类器的条形码识别

    公开(公告)号:US09396377B2

    公开(公告)日:2016-07-19

    申请号:US14563949

    申请日:2014-12-08

    Applicant: Apple Inc.

    CPC classification number: G06K7/1447 G06K7/10811 G06K7/1443

    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.

    Abstract translation: 公开了一种使用数据驱动分类器将潜在恶化的条形码信号变换为数字序列的条形码解码系统和方法。 所公开的实施方式通过将噪声模型并入分类器构造阶段来稳健地信号劣化。 运行时计算成本低,允许在便携式设备上进行有效的实施。 公开了实现智能预览缩放,条形码识别自动对焦增强和多尺度信号特征提取。

    Barcode Recognition Using Data-Driven Classifier

    公开(公告)号:US20130240628A1

    公开(公告)日:2013-09-19

    申请号:US13658765

    申请日:2012-10-23

    Applicant: APPLE INC.

    CPC classification number: G06K7/1447 G06K7/10811 G06K7/1443

    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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