-
21.发明授权Method for the classification of a pattern, for example on a banknote or a coin 失效用于分类图案的方法，例如在钞票或硬币上
公开(公告)号：US5522491A
公开(公告)日：1996-06-04
申请号：US344456
申请日：1994-11-23
申请人： Gaston Baudat , Christian Voser
发明人： Gaston Baudat , Christian Voser
CPC分类号： G06K9/6217 , G06K9/52 , G06K9/6292 , G07D7/20
摘要： For the classification of a pattern in particular on a banknote or a coin, a receiving system detects, by a measurement procedure, vectors of a test item, a pre-processing system transforms the measured vectors into local feature vectors ALCi(l) and a learning classification system carries out a plurality of testing operations. A first activity compares in a first testing operation each of the local feature vectors ALCi(l) to a vectorial reference value. It is only if the first testing operation takes place successfully that the first activity, by means of first estimates which are stored in a data base, links the local feature vectors ALC(l) to provide global line feature vectors AGIi. In a second testing operation a third activity compares the global line feature vectors AGIi to corresponding reference values and, if the second testing operation is successful, computes a single global surface vector AGF of which a fourth activity. in a third testing operation, compares its distance in accordance with Mahalanobis relative to an estimated surface vector to a reference value. The test item is reliably classified if all three testing operations take place successfully.
摘要翻译： 对于特别是纸币或硬币上的图案的分类，接收系统通过测量程序检测测试项目的向量，预处理系统将所测量的向量变换为局部特征向量ALCi（1）和 学习分类系统执行多个测试操作。 第一活动在局部特征向量ALCi（1）中的每一个与矢量参考值的第一测试操作中进行比较。 仅当第一测试操作成功进行时，通过存储在数据库中的第一估计将第一活动链接到本地特征向量ALC（1）以提供全局线特征向量AGIi。 在第二测试操作中，第三活动将全局线特征向量AGIi与对应的参考值进行比较，并且如果第二测试操作成功，则计算出具有第四活动的单个全局表面向量AGF。 在第三测试操作中，将其相对于估计表面向量的马哈拉诺比斯的距离与参考值进行比较。 如果所有三个测试操作成功进行，测试项目可靠地分类。
-
22.发明授权Apparatus for the classification of a pattern for example on a banknote or a coin 失效用于例如在钞票或硬币上分类图案的装置
公开(公告)号：US5503262A
公开(公告)日：1996-04-02
申请号：US13708
申请日：1993-02-04
申请人： Gaston Baudat , Christian Voser
发明人： Gaston Baudat , Christian Voser
CPC分类号： G06K9/6217 , G06K9/52 , G06K9/6292 , G07D7/20
摘要： For the classification of a pattern in particular on a banknote or a coin, a receiving system detects, by a measurement procedure, vectors of a test item, a pre-processing system transforms the measured vectors into local feature vectors ALCi(l) and a learning classification system carries out a plurality of testing operations. A first activity compares in a first testing operation each of the local feature vectors ALCi(l) to a vectorial reference value. It is only if the first testing operation takes place successfully that the first activity, by means of first estimates which are stored in a data base, links the local feature vectors ALC(l) to provided global line feature vectors AGIi. In a second testing operation a third activity compares the global line feature vectors AGIi to corresponding reference values and, if the second testing operation is successful, computes a single global surface vector AGF of which a fourth activity, in a third testing operation, compares its distance in accordance with Mahalanobis relative to an estimated surface vector to a reference value. The test item is reliably clasified if all three testing operations take place successfully.
摘要翻译： 对于特别是纸币或硬币上的图案的分类，接收系统通过测量程序检测测试项目的向量，预处理系统将所测量的向量变换为局部特征向量ALCi（1）和 学习分类系统执行多个测试操作。 第一活动在局部特征向量ALCi（1）中的每一个与矢量参考值的第一测试操作中进行比较。 仅当第一测试操作成功进行时，通过存储在数据库中的第一估计将第一活动与本地特征向量ALC（1）链接到所提供的全局线特征向量AGIi。 在第二测试操作中，第三活动将全局线特征向量AGIi与对应的参考值进行比较，并且如果第二测试操作成功，则计算单个全局表面向量AGF，其中第三活动在第三测试操作中将其与 相对于估计的表面向量与参考值相对应的马氏距离。 如果所有三个测试操作成功进行，测试项目可靠地被分离。
-
搜索结果
22 条记录 (耗时 0.016 秒)
