Kabushiki Kaisha Toshiba

Fuji Xerox Co., Ltd.

Toshiba Solutions Corporation

Toshiba Digital Solutions Corporation

Permelec Electrode Ltd.

De Nora Permelec Ltd

Institute of National Colleges of Technology, Japan

Toshiba Soluitons Corporation

Tomohisa Suzuki

Hiroyuki Mizutani

Kenjo Nagata

Toru Iwanami

Makoto Hamatsu

Naoaki Kodaira

Wenxiang Ge

Hidefumi Tanaka

Masashi Tanaka

Yoshinori Nishiki

Toshio Watanabe

Toshimasa Dobashi

Akio Furuhata

Hiroshi Kikuchi

Shigeru Tanaka

Takanori Masui

Fumio Furusawa

Tsuneto Furuta

Shigeru Tsukada

Kenji Suzuki

Yoshiya Mashimo

Miwako Nara

Tomohiro Ono

Soichiro Ono

Tomoyasu Shibata

Noriyuki Kitaori

Koji Ohashi

Akira Kamata

Kota Sekido

Atsuhiro Yoshida

Hiroyuki Akanuma

Akihiro Uda

Eiji Ishihara

In an image processing system, an image processing apparatus configured to recognize images of documents is connected through a network to terminal apparatuses each including an input unit and a display unit. The image processing apparatus includes: a recognition unit configured to perform character recognition processing on an image; a confidential information detecting unit configured to detect confidential information from a result of the character recognition processing; and a manipulation unit configured to generate, based on the confidential information in the image, a first manipulated image obtained by fragmenting the confidential information. Each of the terminal apparatuses includes: a display unit configured to display the first manipulated image; and an input unit configured to input corrected data for the first manipulated image.

Image processing apparatus, image processing system, computer program product, and image processing method

According to an embodiment, a recognition device includes a detector, a recognizer, and a matcher. The detector is configured to detect a character candidate from an input image. The recognizer is configured to generate recognition candidate from the character candidate. The matcher is configured to match the recognition candidate with a knowledge dictionary and contains modeled character strings to be recognized, and generate a matching result obtained by matching a character string presumed to be included in the input image with the dictionary. Any one of a real character code that represents a character and a virtual character code that specifies a command is assigned to an edge. The matcher gives, when shifting a state of the dictionary in accordance with an edge to which the virtual character code is assigned, a command specified by the virtual character code assigned to the edge to a command processor.

Recognition device, recognition method, and computer program product

According to an embodiment, a creation device creates a code table including a plurality of code words. A recognition device identifies a code word represented by a code image based on a result of character recognition of the code image formed on an object, the code table, and a confusion matrix preliminarily created. The confusion matrix represents probabilities that characters are recognized when the recognition device performs character recognition on an image. The creation device includes a change unit, an evaluation value calculation unit, and a control unit. The change unit changes the code table. The evaluation value calculation unit calculates an evaluation value of the changed code table using the confusion matrix. The control unit causes the change of the code table and the calculation of the evaluation value to be repeated such that the evaluation value becomes small.

Creation device, computer program product, recognition system, and creation method

According to an embodiment, a recognition device includes a candidate detection unit, a recognition unit, a matching unit, and a prohibition processing unit. The candidate detection unit detects, from an input image, character candidates each being a set of pixels estimated to include a character. The recognition unit recognizes each of the character candidates and generates one or more recognition candidates each being a character of a candidate as a recognition result. The matching unit matches each of the one or more recognition candidates with a knowledge dictionary in which a recognition target character string is modeled, and generates matching results obtained by matching a character string estimated to be included in the input image with the knowledge dictionary. The prohibition processing unit deletes, from the matching results, a matching result obtained by matching a character string including a prohibition target character string with the knowledge dictionary.

According to an embodiment, a moving image recognition apparatus includes a moving object detection unit, a data code reading unit, a label recognition unit, an association unit, and an output unit. The moving object detection unit detects moving objects from a moving image stored in a buffer unit and identifies each of the moving objects. The data code reading unit detects a data code from each frame of the moving image and decodes the detected data code. The label recognition unit detects and recognizes a label from each frame of the moving image. When the recognized label and the decoded data code exist on the same object, the association unit associates them. The output unit outputs together the decoding result of the data code and the recognition result of the label associated with the decoding result.

Moving image recognition apparatus and moving image recognition method

According to an embodiment, a data embedding apparatus includes a data acquisition unit and an object generation unit. The data acquisition unit acquires first data formed from a first bit string to be embedded in a first object including a first line segment or a first curve. The object generation unit generates a second object, which includes a deformed line segment or a deformed curve having a displacement corresponding to the first bit string with respect to the first line segment or the first curve and in which the first data is embedded, by deforming at least one of the first line segment and the first curve of the first object based on the first bit string.

Apparatus and method for embedding data in object and apparatus and method for extracting embedded data

The present invention provides a membrane-electrode assembly which includes: at least one rod-form or tubular electrode; a tubular diaphragm disposed around the periphery of the electrode; and a wire-form counter electrode disposed around the periphery of the diaphragm, the diaphragm being fixed to the rod-form or tubular electrode with the wire-form counter electrode to thereby form an electrode chamber having a gas/liquid passage between the diaphragm and the rod-form or tubular electrode.

Membrane-electrode assembly, electrolytic cell employing the same, electrolytic-water sprayer, and method of sterilization

A density detection apparatus includes the following elements. An image forming unit forms density detection images having different area ratios. A measuring unit measures an amount of reflected light. A storage unit stores reference values and also stores a representative value thereof. A determining unit determines a threshold for the area ratios of the density detection images on the basis of a variation among the reference values. A density obtaining unit obtains, for a density detection image having an area ratio which exceeds the threshold, a density level by using the amount of light reflected by the density detection image and the representative value, and obtains, for a density detection image having an area ratio which is equal to or smaller than the threshold, a density level by using the amount of light reflected by the density detection image, the associated reference value, and the representative value.

Density detection apparatus and method and image forming apparatus

A power control system includes an image forming apparatus, a power calculating unit, and a condition controller. The image forming apparatus operates using power, forms an image corresponding to image information in a first operation mode, and enters a second operation mode in which power consumption is smaller than the first operation mode when the image forming apparatus satisfies a specific transition condition. The power calculating unit calculates power supplied from a power supplying unit. The condition controller controls the specific transition condition for the image forming apparatus in accordance with the power calculated by the power calculating unit.

Power control system and power control method

An image evaluation device includes: a partial area extracting section extracting plural partial areas from an original image; an extracted image generating section generating an extracted image corresponding to each of the partial areas and having pixels whose pixel values correspond to a gradient of pixel values in the image; an autocorrelation calculating section calculating plural autocorrelation coefficients for each extracted images; a representative coefficient value calculating section calculating a representative coefficient value for each of the autocorrelation coefficients among the partial areas; and a checking section checking the quality of the image based on a distribution of the representative coefficient values.

Determining image quality based on distribution of representative autocorrelation coefficients

An image forming apparatus includes a controller that provides control in which, if image formation processing by a single unit is executed first since a density adjustment condition for adjusting a density of an image is satisfied, a density adjustment value is changed by a predetermined basic change amount, and a first image is formed in a corresponding image formed region with a density that is adjusted in accordance with the changed density adjustment value, and control in which, if a single image other than the first image is formed in the corresponding image formed region, the current density adjustment value is changed by a predetermined fine change amount that is smaller than the basic change amount, and the single image is formed in the corresponding image formed region with a density that is adjusted in accordance with the changed density adjustment value.

Image forming apparatus, image forming method, and recording medium

A density detection apparatus includes the following elements. A storage unit stores therein image information. A measuring unit measures amounts of light components reflected by an image carrier or density detection images represented by the image information. A light amount obtaining unit obtains a variation in amounts of light components reflected by each region in which the associated density detection image is formed, and obtains, as a reference value, a representative value of the amounts of light components. An image correcting unit corrects the image information by changing an arrangement order of the density detection images. An image forming unit forms the density detection images on the image carrier on the basis of the corrected image information. A density obtaining unit obtains density levels of density detection images corresponding to their area ratios by using the amounts of light components reflected by the density detection images and the reference values.

An image processing apparatus include: a storage unit storing an image of a processing target; a tangent calculating unit extracting contours as a bent lines represented by sets of contour points from an image read from the storage unit and computing tangents to the extracted contour; a projecting unit projecting computed tangents to axes in directions orthogonal to the corresponding tangents, and computing coordinates of intersections where the tangents intersect the axes; and a rectangle calculating unit selecting intersections with maximum values and minimum values of coordinates among intersections computed by the projecting unit for each direction of the axis, and computing a rectangle formed by a pair of parallel tangents passing through two intersections with maximum values and minimum values selected for a first axis and another pair of tangents passing through two intersections with maximum values and minimum values selected for a second axis orthogonal to the first axis.

Image processing apparatus, electronic medium, and image processing method

A recognition object detecting portion detects a recognition object existing in each of images which are captured in series at different time points by a camera. Images of the detected recognition object are stored in a memory. A recognition object condition judging portion determines whether image areas of the recognition object are recognizable. A movement amount detecting portion detects a movement amount of the recognition object by using the image areas of the recognition object stored in the memory. A sub-area detecting portion detects a sub-area to be recognized, by using the image areas of the recognition object read out from the memory, in accordance with the movement amount of the recognition object. A recognition portion performs recognition processing on the sub-areas. A recognition result integration portion integrates recognition results of the sub-areas including recognized characters and/or recognized patterns and the corresponding reliabilities, respectively.

Image processing system

To improve recognition accuracy of a traveling direction of a vehicle by accurately detecting a marking on a road surface which is photographed by a camera while a road environment where a vehicle travels is changing. A car navigation systemdetects an image of a light-irradiated portion which is unnecessary for the recognition of a road marking, in an image behind a vehicle captured by a cameramounted on the vehicle, clips out image areas in a predetermined shape excluding the detected image area, and sequentially stores the clipped images in a storage unit. Then, the new clipped image and the clipped image already stored in the storage unitare combined, and an image of a road marking is detected and recognized from the composite image.

Growing community of inventors

Kanagawa, Japan

Tomohisa Suzuki