专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US06178261B1 Method and system for extracting features in a pattern recognition system 失效
标题翻译：在模式识别系统中提取特征的方法和系统
公开(公告)号：US06178261B1
公开(公告)日：2001-01-23
申请号：US08906253
申请日：1997-08-05
申请人： William J. Williams , Eugene J. Zalubas , Robert M. Nickel , Alfred O. Hero, III , Jeffrey C. O'Neill
发明人： William J. Williams , Eugene J. Zalubas , Robert M. Nickel , Alfred O. Hero, III , Jeffrey C. O'Neill
IPC分类号： G06K946
CPC分类号： G06K9/522 , G06K2209/01
摘要： Method and system for extracting features from measurement signals obtained from real world, physical signals by first forming an invariant component of the measurement signals and then using a technique based on a noise subspace algorithm. This technique first casts or projects the transformed measurement signals into separate subspaces for each extraneous variation or group of variations. The subspaces have minimal over-lap. The recognition of a particular invariant component within a pertinent subspace is then preferably performed using Singular Value Decomposition (SVD) techniques to generate a pattern recognition signal. A series of transformations can be used to form an invariant component called the Scale and Translation Invariant Representation (STIR). In one embodiment, the first step is to form an appropriate time-frequency representation such as the Reduced Interference Distribution (RID) or other distribution whose properties are covariant with translations in time and frequency and changes in scale. A series of additional transformations including a scale transform yield the STIR representation. Features are then extracted from a set of STIR representations taken as examples of the desired signal. The STIR approach removes much of the variation due to translation. In bit-mapped documents, the same translation invariant and scale invariant transformations may be made to regularize characters and words. Also, the same feature selection method functions in an image setting. The method has been found to be particularly useful in word spotting in bitmapped documents corrupted by faxing.
摘要翻译：通过首先形成测量信号的不变分量，然后使用基于噪声子空间算法的技术，从从真实世界获得的测量信号中提取特征的方法和系统。这种技术首先将变换的测量信号投射或投影到每个外来变化或变体组的单独的子空间中。子空间最小化。然后优选使用奇异值分解（SVD）技术来执行相关子空间内的特定不变分量的识别，以产生模式识别信号。可以使用一系列变换来形成称为缩放和平移不变量表示（STIR）的不变组件。在一个实施例中，第一步是形成适当的时间 - 频率表示，例如减少干扰分布（RID）或其属性与时间和频率上的翻译以及尺度变化共同变化的其他分布。包括尺度变换的一系列附加变换产生STIR表示。然后从作为期望信号的示例的一组STIR表示中提取特征。 STIR方法消除了由于翻译造成的大部分变化。在位映射文档中，可以进行相同的转换不变和尺度不变变换以使字符和单词正规化。此外，相同的特征选择方法在图像设置中起作用。已经发现该方法对于通过传真损坏的位图文件的单词发现特别有用。

IPRDB

热门服务

关于我们

友情链接

联系方式