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    • 1. 发明授权
    • System and method for fingerprint image enhancement using partitioned least-squared filters
    • 使用分区最小二乘滤波器进行指纹图像增强的系统和方法
    • US07072523B2
    • 2006-07-04
    • US09943896
    • 2001-08-31
    • Rudolf M. BolleSugata GhosalSarathchandra PankantiNalini RathaRaghavendra U. Udupa
    • Rudolf M. BolleSugata GhosalSarathchandra PankantiNalini RathaRaghavendra U. Udupa
    • G06K9/40
    • G06K9/00067G06T5/20G06T2207/20081
    • In an automatic fingerprint authentication or identification system, the fingerprint image acquisition is severely effected by the limitations of the acquisition process. The two modes of input, viz. scanning inked fingerprints from paper records or directly from a finger using live-scan fingerprint scanners suffer from the following noise sources in the input in addition to standard noise in the camera. Non-uniform ink application, uneven pressure while rolling on the paper or pressing on the scanner surface and external dirt like oil and climatic variations in the moisture content of skin are some of the main causes for the ridges and valleys not to be imaged clearly. This invention deals with a method of learning a set of partitioned least-sqaures filters that can be derived from a given set of images and ground truth pairs as an offline process. The learned filters are convolved with input fingerprint images to obtain the enhanced image.
    • 在自动指纹认证或识别系统中,指纹图像采集受到采集过程限制的严重影响。 两种输入方式,即 使用实时扫描指纹扫描仪从纸张记录或直接从手指扫描墨迹指纹,除了相机中的标准噪声外,还会在输入中遭受以下噪声源。 不均匀的油墨应用,在纸上滚动或压在扫描仪表面上的压力不均匀,以及外部污垢(如油)和皮肤水分含量的气候变化的一些主要原因是不能清晰地成像脊和谷。 本发明涉及一种学习一组分割的最小平方滤波器的方法,该滤波器可以从给定的一组图像和地面真值对导出为离线过程。 所学习的滤波器与输入指纹图像进行卷积以获得增强的图像。
    • 4. 发明授权
    • Method for controlled and meaningful shape modifications
    • 控制和有意义的形状修改的方法
    • US06625330B1
    • 2003-09-23
    • US09516142
    • 2000-03-01
    • Pradeep Kumar DubeySugata GhosalAshutosh KulshreshthaAbhinanda Sarkar
    • Pradeep Kumar DubeySugata GhosalAshutosh KulshreshthaAbhinanda Sarkar
    • G06K932
    • G06K9/6204
    • A method of doing meaningful modifications on an image is presented. These modifications can then be used in variety of applications related to image shape manipulation and similar shape retrieval. The method extracts macrofeatures and microfeature from a given shape. Deformations are done on the macrofeatures only. These deformations are either predefined, or are taken from a deformation library, or are calculated from the shape itself, The microfeatures are then added to the deformed macrofeatures to get a deformed shape. The shape deformations then allow user's perception of shape similarity to be learned, which is reflected in the values of parameters in a parameterized shape similarity metric. The user can use one of the deformed shapes as the initial query point, instead of the shape he or she started with. The shape database compression is achieved by storing only the identification of a similar shape and value of global deformations which will generate this shape approximately, instead of storing every shape feature individually.
    • 提出了对图像进行有意义的修改的方法。 然后,这些修改可用于与图像形状操纵和类似形状检索有关的各种应用。 该方法从给定的形状提取宏特征和微特征。 变形仅在宏观特征上进行。 这些变形是预定义的,或者是从变形库中获取的,或者是根据形状本身计算的。然后将微特征加到变形的宏观特征中以得到变形的形状。 形状变形然后允许用户对形状相似度的感知被学习,这反映在参数化形状相似性度量中的参数值中。 用户可以使用其中一个变形的形状作为初始查询点,而不是他或她开始的形状。 形状数据库压缩是通过仅存储将产生该形状的全局变形的类似形状和值的识别来实现的,而不是分别存储每个形状特征。