Image normalization for computed image construction
    1.
    发明授权
    Image normalization for computed image construction 有权
    计算图像构造的图像归一化

    公开(公告)号:US07809211B2

    公开(公告)日:2010-10-05

    申请号:US11561239

    申请日:2006-11-17

    IPC分类号: G06K9/36

    CPC分类号: G06K9/00026

    摘要: Image normalization examines the pixels of two frames, most commonly sequentially obtained sub-images, and mathematically determines the displacement of those pixels from the first frame to the second based on pixel data. The pixel data is obtained from a scanning device, and may be for example grayscale value. The image may be for example that of a user's fingerprint, and the image normalization used to form a computed image of the fingerprint from a plurality of sub-images obtained from a fingerprint scanner. The computed image may be stored, compared to a reference frame or otherwise processed, for example for identifying the user.

    摘要翻译: 图像归一化检查两帧的像素,最常见的是顺序获得的子图像,并且基于像素数据在数学上确定这些像素从第一帧到第二帧的位移。 从扫描装置获得像素数据,并且可以是例如灰度值。 图像可以是例如用户指纹的图像,以及用于从从指纹扫描器获得的多个子图像中形成计算的指纹图像的图像归一化。 所计算的图像可以与参考帧相比较,或者以其它方式被处理,例如用于识别用户。

    Image Normalization For Computed Image Construction
    2.
    发明申请
    Image Normalization For Computed Image Construction 有权
    计算图像构造的图像归一化

    公开(公告)号:US20070154072A1

    公开(公告)日:2007-07-05

    申请号:US11561239

    申请日:2006-11-17

    IPC分类号: G06K9/00

    CPC分类号: G06K9/00026

    摘要: Image normalization examines the pixels of two frames, most commonly sequentially obtained sub-images, and mathematically determines the displacement of those pixels from the first frame to the second based on pixel data. The pixel data is obtained from a scanning device, and may be for example grayscale value. The image may be for example that of a user's fingerprint, and the image normalization used to form a computed image of the fingerprint from a plurality of sub-images obtained from a fingerprint scanner. The computed image may be stored, compared to a reference frame or otherwise processed, for example for identifying the user.

    摘要翻译: 图像归一化检查两帧的像素,最常见的是顺序获得的子图像,并且基于像素数据在数学上确定这些像素从第一帧到第二帧的位移。 从扫描装置获得像素数据,并且可以是例如灰度值。 图像可以是例如用户指纹的图像,以及用于从从指纹扫描器获得的多个子图像中形成计算的指纹图像的图像归一化。 所计算的图像可以与参考帧相比较,或者以其它方式被处理,例如用于识别用户。