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    USER INTERFACE FOR USE IN SCREENING LUGGAGE, CONTAINERS, PARCELS OR PEOPLE AND APPARATUS FOR IMPLEMENTING SAME
    13.
    发明公开
    USER INTERFACE FOR USE IN SCREENING LUGGAGE, CONTAINERS, PARCELS OR PEOPLE AND APPARATUS FOR IMPLEMENTING SAME 审中-公开
    用户界面使用行李，容器，包装或个人及装置及其实施测试

    公开(公告)号：EP1880331A1

    公开(公告)日：2008-01-23

    申请号：EP06741416.9

    申请日：2006-04-25

    申请人： Optosecurity Inc.

    发明人： BERGERON, Eric ,  LACHAPELLE, Jean ,  PERRON, Luc ,  GENDRON, Marc ,  COUTURE, Bertrand ,  BOUCHARD, Michel, R. ,  LACASSE, Martin

    IPC分类号： G06F19/00 ,  G06F3/14 ,  G01N23/04 ,  G06K9/82

    CPC分类号： G01V5/0008 ,  G06K9/741 ,  G06K2209/09

    摘要： An apparatus and method for implementing a user interface module for use in screening a receptacle to detect therein the presence of one or more prohibited objects is provided. An image signal associated with the receptacle conveying information related to the receptacle's contents and a detection signal conveying a presence of at least one prohibited object in the receptacle are received. A user interface module is adapted for displaying first information conveying an image associated with the receptacle on the basis of the image signal. The user interface module is also adapted for displaying, simultaneously with the first information, second information conveying the presence of the prohibited object in the receptacle. The second information is derived at least in part on the basis of the detection signal. As a variant, the user interface module is adapted for providing a control allowing a user to cause third information to be displayed. The third information conveys at least one characteristic associated to the prohibited object. Alternative implementations of the user interface module may be made for use in screening a person to detect thereon the presence of one or more prohibited objects.

    Self-organizing pattern learning system
    14.
    发明公开
    Self-organizing pattern learning system 失效
    自组织模式学习系统。

    公开(公告)号：EP0615208A3

    公开(公告)日：1995-06-07

    申请号：EP94103633.7

    申请日：1994-03-09

    申请人： FUJI PHOTO FILM CO., LTD.

    发明人： Ono, Shuji, c/o Fuji Photo Film Co., Ltd.

    IPC分类号： G06K9/82 ,  G06K9/66

    CPC分类号： G06K9/74

    摘要： A self-organizing pattern learning system comprises an optical pattern correlation degree detecting means, which comprises a pattern storing means for storing a plurality of patterns, an input pattern displaying means for displaying a presented input pattern, and a photo detecting means. All or two of the input pattern displaying means, the pattern storing means, and the photo detecting means are located at positions adjacent to each other. The photo detecting means optically detects a degree of pattern correlation between the input pattern displayed on the input pattern displaying means and each of memory patterns stored in the pattern storing means. A learning pattern creating means creates a group of learning patterns in accordance with the degrees of pattern correlation, which have been detected by the optical pattern correlation degree detecting means, and the input pattern. A memory pattern updating means updates the memory patterns, which are stored in the pattern storing means, in accordance with the learning patterns, which have been created by the learning pattern creating means.

    Method of optical recognition and classification of pattern
    16.
    发明公开
    Method of optical recognition and classification of pattern 失效
    威尔法罕Zur optischen Erkennung und Klassifikation von Mustern。

    公开(公告)号：EP0500315A2

    公开(公告)日：1992-08-26

    申请号：EP92301315.5

    申请日：1992-02-18

    申请人： SUMITOMO CEMENT CO. LTD. ,  SEIKO INSTRUMENTS INC.

    发明人： Takesue, Toshiharu ,  Takemura, Yasuhiro ,  Yamazaki, Hideki

    IPC分类号： G06K9/82 ,  G06K9/64 ,  G06K9/68

    CPC分类号： G06K9/74 ,  G06K9/64

    摘要： 1. An optical method of recognition and classification of patterns or image, on real time basis, comprising

    (a) measuring necessary times a respective output of correlation betwveen each of reference patterns and a specific pattern to be tested which is to belong to a specific class ;
    (b) calculating a representative value for each set of the correlation output, from the set of the measured data of the correlation outputs, in regard to said each of reference patterns and said specific pattern, and a respective parameter to represent the degree of the deviation of the measured data of said correlation outputs belonging to said each set of correlation outputs ;
    (c) making a respective membership function corresponding to each of said reference patterns for each of the specific classes to which the specific pattern should be classified or belong, on the basis of said respective representative value and said

    respective parameter ;

    (d) estimating a respective membership value to each of the respective membership function, assigned to each of the specific classes to which the pattern should be classified or belong, on the basis of the respective output of correlation between the pattern to be tested and said each of reference patterns ;
    (e) selecting the smallest membership value among the resulting membership values ; or estimating an average of all said resulting membership values ;
    (f) using the resulting smallest membership value or the resulting average as a degree to judge how much said pattern to be tested belongs to each of the specific classes.

    摘要翻译： 1.一种实时地识别和分类图案或图像的光学方法，包括：（a）测量所需时间各参考图案之间的相关输出和要测试的具体图案属于特定的 类; （b）根据所述相关输出的测量数据的集合，针对所述每个参考图案和所述特定图案计算每组相关输出的代表值，以及相应参数，以表示所述相关输出的程度 属于所述各组相关输出的所述相关输出的测量数据的偏差; （c）基于所述各自的代表值和所述相应的参数，针对特定模式应该被分类或属于的每个特定类别，对应于每个所述参考模式的相应隶属函数; （d）基于被测试模式和所述测试模式之间的相关关系的输出来估计分配给模式应被分类或所属于的每个特定类别的各个隶属函数中的每一个的相应隶属度值 每个参考图案; （e）选择所得成员资格值中的最小隶属值; 或估计所有所述所得成员资格值的平均值; （f）使用所得到的最小会员值或所得到的平均值作为度量来判断所要测试的模式多少属于每个特定类别。

    The adaptive pattern recognition
    17.
    发明公开
    The adaptive pattern recognition 失效
    自适应模式识别。

    公开(公告)号：EP0127445A2

    公开(公告)日：1984-12-05

    申请号：EP84303512.2

    申请日：1984-05-24

    申请人： P.A. Consulting Services Limited

    发明人： Taylor, Peter John

    IPC分类号： G06K9/80 ,  G06K9/82

    CPC分类号： G06K9/82

    摘要： A pattern recognition system is described which produces from any object (16) a diffraction pattern -typically an optical Fourier transform of the object, on a high resolution detector (10). Different points in the detector can be addressed by a scanning device (28) to produce an electrical signal which can be digitised if required before being processed and compared with reference signals in a processor 32.
    A reduction in the information to be scanned and pattern matched is obtained by using an optical Fourier transform or the like of the original object.
    A further reduction in the information needed to classify each of a known group of objects is obtained by a method which involves (1) the presentation of each of the group members to the apparatus , (2) the computation from each scanning of a discriminant function by multivariate analysis of the signals produced by the scanning and (3) the use of the disciminant function to determine the points in the scanning of subsequent unknown members of the group which are required (and the weighting to be attributed to the signal at each such point) to allow for the reliable classification of each such unknown member of the group.