Nippon Telegraph And Telephone Corporation

Nippon Telephone And Telegraph Corporation

Mamoru Nakanishi

Satoshi Shigematsu

Hiroki Morimura

Takahiro Hatano

Katsuyuki Machida

Yukio Okazaki

Masami Urano

Koji Fujii

Namiko Ikeda

Takeshi Ogura

Nobuyuki Tanaka

Hakaru Kyuragi

Naoki Miura

Tomoaki Kawamura

Hiroki Suto

Shoko Ohteru

Eiichi Hosoya

Takuya Adachi

Ritsu Kusaba

Takeshi Sakemoto

A child station () of a communication system performs communication while synchronizing the reference time of a parent station () with the local time (RT) of the child station (). When the child station () is switched from a normal mode to a power saving mode in accordance with a mode change instruction from the parent station (), correction is performed for one or both of a stop period in which the apparatus of the child station () is stopped and a non-stop period in the power saving mode using an error (&#x394;t) generated during the time between the reference time of the parent station () and the local time (RT) of the child station (). This makes it possible to synchronize the parent station () with the child station () and reliably and efficiently transfer a control frame (CF) from the parent station () to the child station ().

Communication system, communication method, and child station of communication system

Identifier information (LLID) of an ONU and transfer instruction information indicating a transmission system as the output destination of a downstream frame are registered in a table () in correspondence with each of the destination IDs of the ONUs or user apparatuses connected to the ONUs. Upon receiving a downstream frame from a host apparatus, a frame transfer processing unit () acquires an LLID and transfer instruction information corresponding to the destination ID of the downstream frame from the table ().

Station-side apparatus and frame transfer apparatus

This invention includes an image quality priority level decision processing unit () which evaluates the magnitude of an image quality of each of a plurality of first image data formed from biometric images associated with the same target on the basis of a specific index having the relationship of a monotone function with authentication accuracy of biometric authentication, and outputs each of the first image data upon adding a priority level thereto on the basis of the evaluation result, a first image storage () unit which stores each of the first image data having a priority level added thereto from the image quality priority level decision processing unit (), a second image storage unit () which stores second image data used for comparison/collation with the first image data, an image collation unit () which compares/collates the second image data stored in the second image storage unit () with the first image data stored in the first image storage unit () and outputs the comparison/collation result, and a control unit () which controls each of the units. The control unit () causes the image collation unit () to compare/collate the second image data stored in the second image storage unit () with the first image data stored in the first image storage unit () in accordance with the priority levels, and outputs the comparison/collation result from the image collation unit ().

Biometric image collation apparatus and collation method therefor

A sensor cell includes a sensor electrode () formed on a substrate (), a signal output unit () which outputs a signal corresponding to a capacitance (Cf) formed between the sensor electrode and the surface of a finger (), a high-sensitivity electrode () formed on the substrate so as to be insulated and isolated from the sensor electrode, and a potential controller () which controls the potential of the finger surface via a capacitance (Cc) formed between the high-sensitivity electrode and the finger surface by controlling the potential of the high-sensitivity electrode. In this arrangement, when the resistance of the finger is high, the potential of the finger surface can be controlled so as not to fluctuate with the potential change of the sensor electrode. This makes it possible to increase the sensitivity of detection of the capacitance formed between the sensor electrode and the finger surface, so ridges and valleys of the finger surface can be clearly discriminated by outputs from a plurality of sensor cells.

Surface shape recognizing sensor device

A parallel processing logic circuit for sensor signal processing includes sensors and processing units. The sensor and the processing unit are integrated in the same pixel and arranged in a matrix. The processing unit contains a logic structure that consists of a register and a combinational logic function to execute pixel-parallel processing, based on binary data for a sensor, other processing units, and itself. The combinational logic function performs only a predetermined logic function and its dual one exclusively, thereby sharing the circuit resource and reducing the size of the processing unit. The register focusing on compactness also contributes to the small unit.

Parallel processing logic circuit for sensor signal processing

A certificate authority for certifying the validity of the collation result from a user terminal is placed on a communication network. The user terminal identifies a user himself or herself by collation by using biometrical information of the user. In response to notification of the collation result from the user terminal across the communication network, a service providing apparatus requests across the communication network the certificate authority to certify the validity of the collation result. When a certificate which certifies the validity of the collation result is notified from the certificate authority across the communication network, the service providing apparatus provides a predetermined service to the user.

Network authentication system, method, and program, service providing apparatus, certificate authority, and user terminal

An image processing apparatus includes an image correcting section. When an image of an object is input, the image correcting section performs correction processing for the input image including the object image and outputs the corrected image as an image required for authentication of the object. An image processing method is also disclosed.

Image processing method and apparatus

An image collation apparatus includes a collation unit, minimum coincidence ratio extraction unit, and determination unit. The collation unit obtains a coincidence ratio between first and second images within a printing element range for each collation unit by collating the first and second images with each other. The minimum coincidence ratio extraction unit obtains a minimum coincidence ratio from coincidence ratios obtained from the collation unit. The determination unit determines that the first and second images are identical, if the extracted minimum coincidence ratio is smaller than a predetermined threshold. An image collation method is also disclosed.

Image collation method and apparatus and recording medium storing image collation program

An image processing apparatus for extracting lines from an image using the Hough transform. A processor element is assigned to each quantization point in a Hough space. Each processor element calculates, for each scanning line of the image, intersections of the scanning line and the line corresponding to this processor element once per scanning line. A black pixel (a Hough transform object point) on the scanning line is also obtained sequentially. The coordinate values of the intersection are compared with those of the Hough transform object point, and when they agree, voting to a ballot box memory of the processor element is performed. The voting results become Hough transform data. This makes it possible to implement a high speed Hough transform, and to reduce the size of the apparatus.

Image processing method and apparatus for extracting lines from an image

The positions where back-projection lines from a plurality of images pass through a predetermined voxel slice of a 3D space are calculated. Letting a predetermined one of the plurality of images be defined as a basic image and the other remaining images as reference images, information about back-projection lines from the basic image is stored in a basic back-projection line information storage part and information about the back-projection lines from the reference images are stored, as information associated with voting, in a voting information storage part. A count is taken of reference back-projection lines which pass through the same passing position of each basic back-projection line, and this count value is used to update the information about the basic back-projection line. After execution of each processing in all voxel slices of the 3D space, the information about the basic back-projection line information is read out of the basic back-projection line information storage part.

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Tokyo, Japan

Mamoru Nakanishi