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    • 2. 发明授权
    • Barcode decoding
    • 条码解码
    • US09361499B2
    • 2016-06-07
    • US14511030
    • 2014-10-09
    • Cognex Corporation
    • Ivan A. BachelderSavithri Vaidyanathan
    • G06K5/04G06K7/10G06K9/00G06K7/14
    • G06K7/1439G06K7/10821G06K7/1465G06K7/1491
    • Systems and methods for decoding a barcode are disclosed. A scan signal for a first portion of the barcode is acquired. Integrated sub-character barcode feature evidence for the barcode is stored including evidence for a first plurality of possible sub-character barcode feature interpretations for a first plurality of sub-character barcode features. Sub-character barcode feature measurements are extracted for a second plurality of sub-character barcode features from the scan signal. Sub-character barcode feature evidence is determined for the second plurality of sub-character barcode features, including evidence for a second plurality of possible sub-character barcode feature interpretations for the second plurality of sub-character barcode features. Whether a portion of the integrated sub-character barcode feature evidence corresponds to a portion of the sub-character barcode feature evidence is determined. The sub-character barcode feature evidence is integrated into the integrated sub-character barcode. Character values are determined from the integrated sub-character barcode feature evidence.
    • 公开了用于解码条形码的系统和方法。 获取条形码的第一部分的扫描信号。 存储条形码的集成子字符条形码的特征证据包括用于第一多个子字符条形码特征的第一多个可能的子字符条形码特征解释的证据。 从扫描信号提取第二多个子字符条形码特征的子字符条形码特征测量。 对于第二多个子字符条形码特征确定子字符条形码特征证据,包括第二多个子字符条形码特征的第二多个可能的子字符条形码特征解释的证据。 集成子字符条形码的一部分特征证据是否对应于子字符条形码特征证据的一部分。 子字符条形码特征证据集成到集成子字符条形码中。 字符值由集成的子字符条形码特征证据确定。
    • 4. 发明申请
    • BARCODE DECODING
    • 条形码解码
    • US20160104020A1
    • 2016-04-14
    • US14511030
    • 2014-10-09
    • Cognex Corporation
    • Ivan A. BachelderSavithri Vaidyanathan
    • G06K7/14G06K7/10
    • G06K7/1439G06K7/10821G06K7/1465G06K7/1491
    • Systems and methods for decoding a barcode are disclosed. A scan signal for a first portion of the barcode is acquired. Integrated sub-character barcode feature evidence for the barcode is stored including evidence for a first plurality of possible sub-character barcode feature interpretations for a first plurality of sub-character barcode features. Sub-character barcode feature measurements are extracted for a second plurality of sub-character barcode features from the scan signal. Sub-character barcode feature evidence is determined for the second plurality of sub-character barcode features, including evidence for a second plurality of possible sub-character barcode feature interpretations for the second plurality of sub-character barcode features. Whether a portion of the integrated sub-character barcode feature evidence corresponds to a portion of the sub-character barcode feature evidence is determined. The sub-character barcode feature evidence is integrated into the integrated sub-character barcode. Character values are determined from the integrated sub-character barcode feature evidence.
    • 公开了用于解码条形码的系统和方法。 获取条形码的第一部分的扫描信号。 存储条形码的集成子字符条形码的特征证据包括用于第一多个子字符条形码特征的第一多个可能的子字符条形码特征解释的证据。 从扫描信号提取第二多个子字符条形码特征的子字符条形码特征测量。 对于第二多个子字符条形码特征确定子字符条形码特征证据,包括第二多个子字符条形码特征的第二多个可能的子字符条形码特征解释的证据。 集成子字符条形码的一部分特征证据是否对应于子字符条形码特征证据的一部分。 子字符条形码特征证据集成到集成子字符条形码中。 字符值由集成的子字符条形码特征证据确定。
    • 5. 发明申请
    • SYSTEM AND METHOD FOR FINDING SADDLE POINT-LIKE STRUCTURES IN AN IMAGE AND DETERMINING INFORMATION FROM THE SAME
    • 用于在图像中发现类似点状结构的系统和方法以及从其确定信息
    • US20140119665A1
    • 2014-05-01
    • US13797910
    • 2013-03-12
    • COGNEX CORPORATION
    • Earle B. StokesFenghua JinWilliam M. SilverXiangyun YeIvan A. Bachelder
    • G06T7/00
    • G06K9/2063G06K7/10861G06K7/10871G06K7/1417G06K7/1443G06K9/4604G06K9/4609G06K9/4623G06T7/60
    • This invention provides a system and method for finding features in images that exhibit saddle point-like structures using relatively computationally low-intensive processes, illustratively consisting of an anti-correlation process, and associated anti-correlation kernel, which operates upon a plurality of pixel neighborhoods within the image. This process enables an entire image to be quickly analyzed for any features that exhibit such saddle point-like structures by determining whether the anti-correlation kernel generates a weak or strong response in various positions within the image. The anti-correlation kernel is designed to generate a strong response regardless of the orientation of a saddle point-like structure. The anti-correlation process examines a plurality of pixel neighborhoods in the image, thereby locating any saddle point-like structures regardless of orientation, as it is angle-independent. The structures are then grouped and refined (for example in a grid) in an effort to locate and decode ID topologies within the image.
    • 本发明提供一种用于在图像中发现特征的系统和方法,该特征使用相对计算上的低密集过程表现出鞍点状结构,其示意性地由抗相关过程和相关联的反相关核组成,该相关反相内核基于多个像素 图像内的社区。 该过程使得能够通过确定反相关内核是否在图像内的各个位置中产生弱或强响应来呈现出诸如鞍点状结构的任何特征,从而快速分析整个图像。 反相关核被设计成产生强烈的响应,而不管鞍点状结构的取向如何。 反相关处理检查图像中的多个像素邻域,从而定位任何鞍状结构,而不管方位如何,因为它是与角度无关的。 然后将结构分组和精化(例如,在网格中),以努力定位和解码图像内的ID拓扑。