Matsushita Electric Industrial Co., Ltd.

Matsushita Electrical Co. Ltd.

Yoshihiro Kojima

Susumu Maruno

Yasuharu Shimeki

Hiroshi Yamamoto

Kazuhiro Kayashima

Toshiyuki Kouda

Toshiyuki Kohda

Shigeo Sakaue

Hidetsugu Maekawa

Makoto Fujimoto

Keiichi Kobayashi

Hisao Niwa

Katsushi Inoue

Satoru Ito

Tetsuya Kannon

Taro Imagawa

Takenori Akamine

A two-dimensional code reader for accurate and fast reading of a two-dimensional code image containing luminance unevenness caused by variations in illumination. To binarize cells, first the gray levels of the pixels at the center points of the cells are extracted, a local threshold value is found only from the extracted gray levels, and the gray levels are compared with the local threshold value, thereby binarizing the cells.

Two-dimensional code reader

The terminal device with built-in image sensor allows to use a conventional writing tool as the handwritten input means, and facilitates reading of printed document, and incorporates a scanning image sensor composed of a lens member having the optical path disposed parallel to a transparent panel, a prism member for bending the optical path at right angle to match one focal position of the lens member with the surface of the transparent panel, a light source for illuminating the surface of the transparent panel, and a light sensor disposed at other focal position of the lens member, and reads a document placed on the transparent panel, and conventional writing device is provided in the lid unit, and by closing the lid unit after writing character or picture by the writing device, the character or picture is read by the image sensor.

Terminal device with built-in image sensor

A two-dimensional code reader for precisely and fast reading a two-dimensional code image containing luminance unevenness caused by variations in illumination, etc. To binarize cells, first the gray levels of the pixels at the center points of the cells are extracted, a local threshold value is found only from the extracted gray levels, and the gray levels are compared with the local threshold value, thereby binarizing the cells.

There is disclosed a character recognition machine adapted to recognize Japanese characters such as kanjis and kanas. The machine comprises a character string storage portion, a character extraction portion, a character recognition portion, and a language processing portion. A character string to be recognized is stored as an image in the storage portion. The character extraction portion comprises a network consisting a plurality of interconnected operators each of which has numerous inputs and outputs. An evaluation function which assumes its minimum value when a character extraction produces the best results is calculated by the operators simultaneously so as to minimize the value of the function. The character recognition portion calculates degrees of similarity of a character pattern to various character categories, the character pattern being applied from the character extraction portion. The language processing portion receives these degrees of similarity and selects a character category which seems to provide the must correct combination of characters in terms of vocabulary and grammar.

Character recognition machine utilizing language processing

An input/display integrated information processing device has: image display circuit for displaying document and image information; image input circuit through which information of an image such as a picture, a photograph, documents drawn or written on a sheet presented by the user can be an input; a visual coincidence structure for integrally combining a display screen of the image display circuit with an input screen of image input circuit so as to establish visual coincidence of screens as viewed from the user; contact information detection circuit for, when a finger of the user, the sheet presented by the user, or the like makes contact with the contact information detection circuit, detecting information of a contact position, the contact information detection circuit being disposed on the whole of the input screen of the image input circuit or the display screen of the image display circuit; image extraction circuit for automatically extracting only a required portion from image information input through the image input circuit; image information storage circuit for storing the image information; image synthesize circuit for combining the image with an image which is already displayed and stored; and image information control circuit for controlling input/output operations of the image information.

Input/display integrated information processing device

There is disclosed a character recognition machine adapted to recognize Japanese characters such as kanjis and kanas. The machine comprises a character string storage portion, a character extraction portion, a character recognition portion, and a language processing portion. A character string to be recognized is stored as an image in the storage portion. The character extraction portion comprises a network consisting a plurality of interconnected operators each of which has numerous inputs and outputs. An evaluation function which assumes its minimum value when a character extraction produces the best results is calculated by the operators simultaneously so as to minimize the value of the function. The character recognition portion calculates degrees of similarity of a character pattern to various character categories, the character pattern being applied from the character extraction portion. The language processing portion receives these degrees of similarity and selects a character category which seems to provide the most correct combination of characters in terms of vocabulary and grammar.

An input/display integrated information processing device has: image display circuit for displaying document and image information; image input circuit through which information of an image such as a picture, a photograph, documents drawn or written on a sheet presented by the user can be an input; a visual coincidence structure for integrally combining a display screen of the image display circuit with an input screen of the image input circuit so as to establish visual coincidence of screens as viewed from the user; contact information detection circuit for, when a finger of the user, the sheet presented by the user, or the like makes contact with the contact information detection circuit, detecting information of a contact position, the contact information detection circuit being disposed on the whole of the input screen of the image input circuit or the display screen of the image display circuit; image extraction circuit for automatically extracting only a required portion from image information input through the image input circuit; image information storage circuit for storing the image information; image synthesize circuit for combining the image with an image which is already displayed and stored; and image information control circuit for controlling input/output operations of the image information.

A character recognition apparatus is provided which, even when there occurs a local positional deviation of a character to be recognized, can stably recognize the character with high accuracy. For each contour point of a character image, a contouring direction code imparting unit 15 obtains a contouring direction code in which a contouring line direction of the character is quantized in four directions. A contouring direction code frequency calculation unit 16 calculates the frequency of each contouring direction code for each subregion of the character image. A contouring direction code density calculation unit 17 calculates the density of the contouring direction codes of each subregion, by using the frequency of the direction codes and the size of the respective subregion. A contouring direction code space blurring unit 18 conducts a weighted addition on each of the obtained contouring direction codes by adding, with a predetermined weight coefficient, the contouring direction code densities of neighbor subregions which are adjacent to the respective subregion with the subregion as the center and in a direction perpendicular to that of each of the contouring direction codes.

Character recognition apparatus that subdivides a character into

A recognition apparatus is provided with a plurality of recognition units organized in a multilayered hierarchical structure. Each of the recognition units includes a signal input section, a quantizer for performing a quantization according to a signal inputted from the signal input section, and a path selecting section for performing a selection of paths according to an output from the quantizer. The path selecting section includes a path input section having at least one path input terminal, a path output section having at least one path output terminal, a load distribution selecting section for selecting a load distribution, and a load setting section for changing the strength of connection between the path input terminal and the path output terminal according to the output of the quantizer by the use of the load distribution selected by the load distribution selecting section.

Recognition unit and recognition apparatus

A recognizing and judging apparatus for a learning and recognizing processing to be effectively performed in a short period of time, the apparatus including a plurality of recognition units in a multi-layered hierarchical network structure with one or more path output terminals of the recognition units of an upper layer being connected with one or more path input terminals of the recognition units of a lower layer. The recognition unit comprises a vector signal input structure for inputting a plurality of input signals for showing characteristics of an object to be recognized, a path signal transmitting information computing structure for converting an input signal vector from the vector signal input structure into a path signal transmitting information and a path signal transmitting structure having one or more path input terminals for inputting a path signal and one or more path output terminals for outputting the path signal to transmit the path signal from the path input terminals to the path output terminals according to the path signal transmitting information.

Object recognition apparatus using a hierarchical network of recognition

A learning and recognition machine has a major classification section for classifying an input pattern into a plurality of category groups and calculating a group belongingness to each category group and a plurality of fine classification sections for calculating a similarity within each category group. The machine causes the plurality of fine classification sections to learn in a coordinated manner by reflecting the group belongingness of the input pattern to update of a weight factor implemented in the fine classification sections, thereby allowing a recognition rate of a pattern situated at the boundary of the category groups to be improved and an effective supplemental learning to be performed.

Learning and recognition machine

A recognizing and judging apparatus has a network organized in a multilayered hierarchical manner and a plurality of branched tree structures corresponding to the number of inputted data. The branched tree structures are organized by a plurality of recognition units, each of which includes a signal input section and a quantizer for performing a quantization according to a signal inputted from the signal input section. Each of the recognition units further includes a path input section having at least one path input terminal, a path output section having at least one path output terminal, and a path selecting section operatively coupled with both the path input section and the path output section for performing a selection of paths according to an output of the quantizer.

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Kobe, Japan

Yoshihiro Kojima