公开(公告)号：US3602887A

公开(公告)日：1971-08-31

申请号：US3602887D

申请日：1968-02-09

Applicant: IBM

Inventor： CHOW CHAO K

IPC: G06K9/74 ,  G06K9/12

CPC classification number: G06K9/74

Abstract: The apparatus for practicing the method of classifying patterns is a character recognition system. An optical representation of a function of an unknown character is obtained by applying noncoherent light to a document on which the character is recorded. This optical representation is then applied to a number of masks, one for each possible character, which contain optical representation of the characters, and an optical correlation function for each mask is produced. Each of these optical correlation functions is applied to a separate group of photocells, which produce signals that are linearly proportional to the intensity of different portions of the correlation function. The output of each photocell is applied to a nonlinear diode which produces an output proportional to a constant raised to the value represented by the input signal applied to the diode. The outputs from these diodes for each correlation function are summed to provide a signal representative of a nonlinear function of each correlation function. Since the outputs from all photocells in a given group are summed, it makes no difference which photocell emits the peak representing output and thus the positional registrations is immaterial. This makes the system translation invariant. The representative signals are compared in a maximum selection circuit to determine which signal is largest and thus identifies the unknown character. The invention is also embodied in a system in which coherent light supplied by a laser is applied to the unknown character to obtain a coherent light representation of that character. In this system, the masks storing the optical functions of the unknown characters are in the form of a hologram. Further, field effect transistors are connected to the outputs of the photocells. These transistors translate the outputs of the photocells, which are representative of the intensity of the applied light, to outputs which are proportional to the square root of the intensity of applied light, and these outputs are applied as inputs to the nonlinear or exponential diodes.

公开(公告)号：US3634822A

公开(公告)日：1972-01-11

申请号：US3634822D

申请日：1969-01-15

Applicant: IBM

Inventor： CHOW CHAO K

IPC: G06K9/62 ,  G01S7/62 ,  G06K9/68 ,  G06K9/00

CPC classification number: G01S7/62 ,  G06K9/6807

Abstract: The character recognition system identifies characters in each of three different fonts. Each character is scanned to obtain a binary word representation of the character. This representation is applied to three tables storing probability representations for each known character in the three fonts. Character comparison functions for each character in each font are produced which are stored in a buffer for later character identification and are also applied to three accumulators to provide three font comparison functions for the unknown character. From these functions the font is determined without, at that time, identifying the character. The results of a series of font identifications for a sequence of unknown characters are stored on a current basis, and from these results, font frequency functions are derived which are then employed to modify the character comparison functions that have been stored in the buffer. The modified character comparison functions are compared to identify the unknown character.

Abstract translation: 字符识别系统识别三种不同字体中的每一种字符。 扫描每个字符以获得字符的二进制字表示。 该表示适用于存储三种字体中每个已知字符的概率表示的三个表。 产生每种字体中每个字符的字符比较功能，其存储在缓冲器中用于稍后的字符识别，并且也被应用于三个累加器，以为未知字符提供三种字体比较功能。 从这些功能中，字体被确定为没有，当时，识别字符。 针对未知字符序列的一系列字体识别的结果被存储在当前的基础上，并且从这些结果中导出字体频率函数，然后将其用于修改已经存储在缓冲器中的字符比较功能。 将修改后的字符比较功能进行比较，以识别未知字符。

公开(公告)号：US3588823A

公开(公告)日：1971-06-28

申请号：US3588823D

申请日：1968-03-28

Applicant: IBM

Inventor： CHOW CHAO K ,  LIU CHAO N

IPC: G06K9/66 ,  G06K9/00

CPC classification number: G06K9/66

Abstract: AN ADAPTIVE PATTERN RECOGNITION SYSTEM IS PROVIDED WHICH CALCULATES THE MUTUAL INFORMATION PROVIDED BY PAIRS OF FEATURES EXTRACTED BY A FEATURE EXTRACTING DEVICE. THE RELATIVE MAGNITUDES OF MUTUAL INFORMATION ARE DETECTED SERIATIM AND A CLOSED LOOP AVOIDANCE MODULE PREVENTS FORMING A CLOSED LOOP, TO RETAIN A STATISTICAL TREE RELATIONSHIP. PATTERN LOGIC STORES THE SET OF PAIRS HAVING HIGHEST VALUES OF MUTUAL INFORMATION. THEN THE SYSTEM IS PREPARED TO OPERATE A RECOGNITION SYSTEM. THE INDIVIDUAL FEATURES ARE WEIGHTED, ACCORDING TO STATISTICAL ANALYSIS, BY ANALOGUE COMPUTERS. ALSO, THE PAIRS OF INFORMATION ARE GATED AND WEIGHTED FOR EACH PATTERN IN ACCORDANCE WITH STATISTICAL WEIGHTING PRINCIPLES. THE SUMMING NETWORK FOR A PLURALITY OF PATTERNS ARE COMPARED IN A MAXIMUM DETECTOR FOR ULTIMATE RECOGNITION OF THE MOST LIKELY PATTERN IDENTIFICATION.