Fujitsu Corporation

Fujitsu Limied

Yusaku Fujii

Takashi Shinzaki

Yoshinobu Hotta

Katsuhito Fujimoto

Akihiro Minagawa

Hiroaki Takebe

Hiroshi Tanaka

Noriaki Ozawa

Jun Ikegami

Yukihiro Abiko

Ken Yokoyama

Takashi Morihara

Hirokazu Aritake

Manabu Ishimoto

Satoshi Maeda

Takahiro Matsuda

Seiji Takahashi

Satoshi Semba

Masato Nakashima

Junji Tomita

Satoshi Iwata

Nobuyuki Hara

Yoshio Fukasawa

Masaki Inami

Kiichiro Watanabe

Junichi Hirai

Kouji Honma

An image processing apparatus, includes: a processor coupled to a memory, configured to: detect corresponding relationships between lines of two or more pairs in a pair of images each having different local deformation, correct the local deformation of each of the pair of images, based on the corresponding relationships between the lines of the two or more pairs in the pair of images, and concatenate the pair of images in which the local deformation is corrected into a single image.

Image processing apparatus and image processing method

An image recognition apparatus recognizes the correspondence between character strings and logical elements composing a logical structure in an image in which the character strings are described as the logical elements to recognize each logical element. The image recognition apparatus includes outputting means for outputting the recognized logical elements when the correspondence is recognized or re-recognized; first determining means for determining a certain logical element to be correct when input of a determination request to determine the logical element is received from a user; second determining means for determining the correctness of all the logical elements output before the logical element determined by the first determining means and is positioned according to confirmation by the user; and re-recognizing means for re-recognizing the correspondence between logical elements that have not been determined to be correct and the character strings on the basis of the determination content for each logical element.

Image recognition apparatus, image recognition method, and storage medium recording image recognition program

A character area extracting device includes a reflective and non-reflective area separation unit separating image data into reflective and non-reflective areas, and binarizing the image data by changing a first threshold value when it is inappropriate; a reflective area binarizing unit separating the reflective area into character and background areas, and binarizing it by changing a second threshold value when it is inappropriate; a non-reflective area binarizing unit separating the non-reflective area into the character and background areas, and binarizing it by changing a third threshold value when it is inappropriate; a reflective and non-reflective area separation evaluation unit; and a line extracting unit connecting the character areas of the reflective and non-reflective areas and extracting positional information of the connected character areas in the image data.

Character area extracting device, imaging device having character area extracting function, recording medium saving character area extracting programs, and character area extracting method

The form data extracting apparatus, even input form does not have a logical structure stored in the generic logical structure DB, by using logical elements in the existing logical structure and a registered form obtained on the basis of (a) the logical structure, (b) pieces of position information of the logical elements, and (c) a relation between the logical elements. A logical element and a logical structure are extracted from the input form, and the extracted logical structure can be defined as a new registered form or a new logical structure.

Computer readable recording medium on which form data extracting program is recorded, form data extracting apparatus, and form data extracting method

A method for assisting in the creation of a logical structure model, which stores, from an image in which character strings associated respectively with a plurality of logical elements constituting a logical structure are described, the logical elements, character strings associated with the logical elements, and the logical structure, wherein character strings in an input image and the logical structure among the character strings in the input image are extracted, a logical element is selected among the plurality of logical elements according to the degrees of similarity between the extracted character strings and the character string associated respectively with the plurality of logical elements stored in the logical structure model, a character string associated with the selected logical element and a character string in the input image associated with the logical element based on the logical structure among the extracted character strings in the input image are extracted.

Recording medium for recording logical structure model creation assistance program, logical structure model creation assistance device and logical structure model creation assistance method

An image recognition method is conducted by recognizing logical elements based on a logical structure model set to correspond to the logical structure of an image of individual character strings, collecting information processed with the logical structure model of images of a logical structure, acquiring a recognition result when recognizing an image of a logical structure by processing information collected with a post-update logical structure model, and outputting warning information about the post-update logical structure model to an output unit when a result of the comparison is a non-match.

Image recognition apparatus, method and system for realizing changes in logical structure models

A document recognizing apparatus includes a display control unit which displays a document data including a character string related to a character string selected by a user, and an area that includes at least a character string of the document data.

Document recognizing apparatus and method

A logical structure analyzing apparatus includes an extracting unit that extracts word candidates from a form, a first generating unit that classifies each of the word candidates into a group of heading candidates or a group of data candidates to generate, based on positions of the word candidates on the form, first candidates sets each including one heading candidate and one data candidate identifiable by the heading candidate, and a second generating unit that combines the first candidate sets to generate second candidate sets that each include plural heading candidates that differ and one data candidate. The apparatus also includes a removing unit that, based on positions of the heading candidates and the data word candidate in each second candidate set, removes from among the second candidates sets, a determined set including a data item and headings identifying the data item, and an output unit that outputs the determined set.

Logical structure analyzing apparatus, method, and computer product

A personal authentication system using biometrics information, which identifies or authenticates an individual by verifying to-be-verified biometrics characteristic data against previously registered biometrics characteristic data. The system includes a biometrics information inputting section having a function to acquire the to-be-verified biometrics information; a biometrics information converting section converting said to-be-verified biometrics information, acquired through said biometrics information inputting section, into a state to be acquired on a predetermined acquisition condition, said predetermined acquisition condition being a same condition under which the registered biometric information was acquired; and a biometrics characteristic data extracting section extracting to-be-verified biometrics characteristics data from the to-be-verified biometrics information obtained by the conversion in said biometrics information converting section.

Personal authentication system using biometrics information

A cryptographic method and equipment decrypting a cryptographic key by generating an auxiliary code based on a randomly determined numeric key and including a result of encryption into a cryptogram. Upon decryption, the cryptographic key is restored using the numeric key restored according to the entire cryptogram. A cryptographic method and equipment scrambles and encrypts physical characteristic information, and descrambles a result of a decryption, thereby enabling any alteration to a cryptogram to be detected because even a minor alteration thereto changes the result of the decryption. A remote identification system encrypts physical characteristic information using a password as a cryptographic key, and fluctuation of the physical characteristic information, authenticating information represented as a different bit pattern at each identifying processing is generated and sent to a transmission medium.

Method and equipment for encrypting/decrypting physical characteristic information, and identification system utilizing the physical characteristic information

When two images are matched, a partial image S is registered in advance, mutual relative position is obtained when the partial image S and an image I indicate the largest overlap. Based on the relative position, the relative position between the image T and the image I is determined. Thus, it is determined whether or not the image T and the image I match.

Image matching apparatus, image matching method, and image matching program

A fingerprint matching apparatus includes a fingerprint distortion detection unit for detecting whether or not a correlation object intentionally distorts the finger put on the fingerprint reading face by, for example, applying excessively large force to the finger, or dragging or rolling the finger. With this configuration, it is possible to prevent a distorted fingerprint image from flowing into the fingerprint matching apparatus and therefore the probability of accurate fingerprint correlation can be increased.

Detection of fingerprint distortion by deformation of elastic film or displacement of transparent board

The object is to obtain undistorted images in high speed using a small amount of memory capacity, to realize high-quality characteristic information verification. The apparatus, which obtains information needed for user verification from partial images that are successively captured by a sweep-type fingerprint sensor from a fingertip, includes image obtaining means which captures successive partial images of biometric information; characteristic extracting means which obtains, from the captured partial images, characteristics and positions of the characteristics; detecting means which detects relative position information of partial images based on characteristics contained in a region in which the partial images overlap; and correcting means which calculates the amount of distortion of the characteristics based on the detected relative position information and on the positions of the characteristics in each partial image, and which corrects the positions of the characteristics in each individual partial image based on the calculated distortion amount.

Biometric information obtaining apparatus and biometric information verification apparatus

Collation information comprises anatomical information, such as finger print feature information, etc., and identification information. For the identification information, the serial number or equipment description of a device by which the anatomical information is collected, information about a route taken between a collection device and an authentication device or serial number attached to anatomical information collected by a specifying device, etc., is used instead of conventional time information. Then, the entire collation information is encrypted and is transmitted from an anatomical information collecting device to an authentication device via a network.

Authentication device using anatomical information and method thereof

Fingerprint section images of a finger are continuously input by relative movement with respect to a fingerprint sensor, and characteristic shapes such as ridge shapes, edge lines, and portions where changes of tangent directions are large are extracted from the fingerprint section images. Common areas in which character shapes match in two fingerprint section images which are chronologically continuous are searched by correlative calculation of characteristic shapes to detect an amount of movement of images at an overlapping position. Two living body section images which are chronologically continuous are connected to each other on the basis of the amount of movement to generate an entire living body image.

Growing community of inventors

Kawasaki, Japan

Yusaku Fujii