Text vectorization using OCR and stroke structure modeling
    7.
    发明授权
    Text vectorization using OCR and stroke structure modeling 失效
    使用OCR和笔画结构建模的文本向量化

    公开(公告)号:US08244038B2

    公开(公告)日:2012-08-14

    申请号:US12332913

    申请日:2008-12-11

    CPC classification number: G06K9/481 G06K2209/01

    Abstract: Systems and methods are described that facilitate dominant point detection for text in a scanned document. The dominant points are classified as “major” (e.g., structural) and “minor” (e.g., serif). A set of rules or parameters for each character is determined off-line. During the text vectorization, OCR is performed and the rules (parameters) associated with the recognized character are selected. Both major and minor dominant points are detected as a maximization process with the parameter set. For minor dominant points, additional processes are optionally employed.

    Abstract translation: 描述了促进扫描文档中的文本的主要点检测的系统和方法。 优势点被归类为“主要”(例如,结构)和“次要”(例如,衬线)。 离线确定每个字符的一组规则或参数。 在文本向量化期间,执行OCR并选择与识别的字符相关联的规则(参数)。 主要和次要主要点被检测为具有参数集的最大化过程。 对于较小的优势点,可以采用额外的过程。

    Process for preparing polyester composite materials
    9.
    发明授权
    Process for preparing polyester composite materials 失效
    聚酯复合材料的制备工艺

    公开(公告)号:US08071677B2

    公开(公告)日:2011-12-06

    申请号:US12333377

    申请日:2008-12-12

    CPC classification number: C08K5/54 C08K3/34 C08L67/02

    Abstract: A process is provided for preparing polyester composite materials, comprising polymerizing at least one polyester precursor in the presence of filler microparticles and/or nanoparticles and organosilane having nucleophilic functionality. The organosilane is added as a distinct ingredient. The polyester composites so prepared have low acid end group content, thus improved hydrolytic and melt stability and improved elongation at break.

    Abstract translation: 提供了一种制备聚酯复合材料的方法,包括在填料微粒和/或纳米颗粒和具有亲核官能团的有机硅烷的存在下聚合至少一种聚酯前体。 加入有机硅烷作为不同的成分。 如此制备的聚酯复合材料具有低的酸端基含量,从而改善了水解和熔融稳定性并提高了断裂伸长率。

Patent Agency Ranking