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    • 83. 发明公开
    • Apparatus for recognizing unknown patterns
    • 用于识别未知图案的装置
    • EP0139446A3
    • 1986-10-08
    • EP84306098
    • 1984-09-06
    • KABUSHIKI KAISHA TOSHIBA
    • Maeda, Kenichi Patent Division Toshiba Corp.
    • G06K09/80
    • G06K9/80G06K9/36G06K9/62
    • An apparatus for recognising unknown input patterns is described. The pattern to be recognised is converted into electrical signals representing, for example, the darkness or density of the picture elements forming the input pattern by units 1, 2, 4 and 4. The signals are stored in an input pattern memory 4. A basis generating unit 5 generates a plurality of orthonormalised vectors or bases from the stored input pattern, these are used to construct an input subspace of the input pattern. A reference pattern memory 8 stores reference patterns for a number of categories. These reference patterns vectors which are used to construct a reference subspace. A similarity value is defined as an angle 8 between the input subspace and the reference subspace. A matrix generating unit 7 and an eigenvalue calculating unit 10 are provided for measuring the angle e. The matrix generating unit 7 produces a matrix from the orthonormalised vectors generated by the basis generating unit 5 and the reference patterns stored in the reference memory 8. The maximum eigenvalue of the matrix calculated by eigenvalue calculating unit 10, corresponds to the angle 8. A decision unit 12 determines the category to which the input pattern belongs by comparing the eigenvalues representing the categories.
    • 85. 发明公开
    • Character recognition apparatus and method for recognising characters associated with diacritical marks
    • 字符识别系统以及识别与变音符号的字母方法。
    • EP0138079A2
    • 1985-04-24
    • EP84111043.0
    • 1984-09-17
    • International Business Machines Corporation
    • Bednar, Gregory MartinFryer, George BernardNarasimha, Manthri Selvapullai
    • G06K9/68G06K9/34
    • G06K9/78G06K9/34G06K9/342G06K9/62G06K2209/01
    • The invention relates to character recognition apparatus, for recognising unknown characters of a known character set, some of the characters having diacritical marks associated therewith, which includes storage means for storing character data of an unknown character which may be associated with a diacritical mark, and recognition means for examining the stored character data in order to recognise unknown characters. The recognition means comprises extracting means for extracting from the stored character data the character data corresponding to a predetermined portion of the character which is the expected location of a diacritical mark, and examining means for examining the extracted diacritical mark character data and the rest of the stored character data of the unknown character in order to recognise the unknown character and any diacritical mark associated therewith.
      The invention also relates to a method of recognising unknown characters using apparatus of the above type.
    • 本发明涉及一种字符识别装置,用于识别一个已知的字符集的未知字符,一些具有变音符号的字符相关联的存在,它包括存储装置用于存储可与变音标记相关联的未知字符的字符数据,和 识别装置,用于以识别未知字符,检查所存储的字符数据。 所述识别装置包括提取装置,用于从所存储的字符数据的字符数据对应于该字符的所有这是一个变音标记的预期位置的预定部分提取,并且检查装置,用于检查所提取的音标记字符数据和的其余部分 存储在为了识别未知字符和相关联的有任何区别标记的未知字符的字符数据。 ... 本发明因此涉及到识别使用上述类型的装置未知字符的方法。
    • 87. 发明公开
    • Pattern recognition apparatus and method
    • 装置和方法,形状识别。
    • EP0063765A2
    • 1982-11-03
    • EP82103229.9
    • 1982-04-16
    • KABUSHIKI KAISHA TOSHIBA
    • Kenichi, Maeda
    • G06K9/68
    • G06K9/62G06K9/80
    • The invention provides a pattern recognition apparatus and method by which an unknown input pattern is divided into a plurality of sub-area patterns matched with a plurality of standard partial characteristic patterns fo form an input pattern similarity matrix. The matrix is then matched with a plurality of reference similarity matrices of standard reference patterns, whereby the unknown pattern is recognized as one of standard reference patterns which gives the best matching. In the apparatus, digital signals corresponding to the sub-area patterns are supplied to a first similarity calculator (15) to which the partial characteristic patterns are supplied from a first dictionary memory (16). The calculator (15) calculates the input pattern similarity matrix. A second similarity calculator (19) calculates similarities between the input pattern similarity matrix and each of reference similarity matrices read out from a second dictionary memory (18). A comparator (20) identifies one reference pattern.