Kabushiki Kaisha Toshiba

Naotake Natori

Masaya Maeda

Tomoyuki Hamamura

Bunpei Irie

Kazuo Nishimura

Toshio Sato

Hiroshi Matsuki

Mitsutake Hasebe

An image processing device that acquires an image from an object includes an illuminator having a plurality of light sources, a sensor unit, and a controller. The plurality of light sources irradiates light of respectively different colors onto an object. The sensor unit outputs luminance data for one line obtained by photoelectrically converting light is reflected from the object of that was irradiated by the illuminator onto the object. The controller acquires a random number, and acquires luminance data for one line output by the sensor unit, while causing one light source selected from the plurality of light sources based on the acquired random number to emit light.

Image processing device, article processing apparatus, and image processing method

According to one embodiment, a postal indicium detection method includes detecting whether or not one of a first face and a second face of a sheet corresponds to a picture card specific face, detecting a postal indicium candidate from the second face based on a first detection result indicating that the first face corresponds to the picture card specific face, and detecting the postal indicium candidate from the first face based on a second detection result indicating that the second face corresponds to the picture card specific face.

Postal indicium detection method and postal indicium detection apparatus

A defacement degree determination apparatus according to one embodiment of the invention includes an alignment unit which aligns positions of an input image from one printed material printed using a plurality of printing plates with registered images registered in advance, a plate separation processing unit which separates the input image into a plurality of printed components corresponding to the plurality of printing plates, and extracts defacement features from the respective printed components, and a defacement degree determination unit which determines a defacement degree of the printed material based on the defacement features extracted from the respective printed components.

Defacement degree determination apparatus and defacement degree determination method

According to one embodiment, a barcode processing apparatus comprises a reading unit configured to read an image of a barcode configured by a plurality of bars laid out at a predetermined interval, each bar being formed by a plurality of ink dots, and a barcode recognition unit configured to filter the read image using a mask which has a width smaller than the predetermined interval and larger than a width of one bar, and corresponds to a length of one bar so as to extract a group of a plurality of ink dots, to couple the plurality of ink dots in the extracted group, to detect one bar based on the coupling result, and to recognize a barcode configured by a plurality of detected bars.

Barcode processing apparatus and barcode processing method

In a stain determination apparatus or sheet processing apparatus, an input processing unit inputs image information containing an inherent variation that is not related to a stain, a feature extracting unit extracts a plurality of feature information items from the image information input by the input processing unit, a separating unit separates a set of the plurality of feature information items extracted by the feature extracting unit into a inherent variation component and another residual component, a determining unit extracts a main component of stain variation indicating a stain degree in the image information input by the input processing unit from the residual component separated by the separating unit and determines a stain degree in the image information based on the magnitude of the extracted stain variation main component.

Stain determination apparatus, sheet processing apparatus and stain determination method

An information recognition processing apparatus according to an embodiment of the invention includes a storage unit configured to store statistical information indicating results of identification information recognition processing in which an image of a first object to be read is read to acquire a plurality of first read images of different image brightness levels, and recognition of identification information included in the first read image of each brightness level is tried, an image reading unit configured to read an image of a second object to be read to acquire a plurality of second read images of different image brightness levels, and a recognition unit configured to preferentially execute a recognition process of identification information included in the second read image of a predetermined brightness level of the plurality of second read images of the different image brightness levels, based on the statistical information.

Information recognition processing apparatus and information recognition processing method

The class of a sheet is efficiently estimated and a pattern identification process which is robust to a variation in the medium can be performed by dividing an image pattern of the sheet into a plurality of areas (pixels or sets of pixels), weighting and selecting the areas, attaining the identification results for the respective areas and determining the identification result of the whole portion based on a logical combination of the identification results. Particularly, since the area weighting and selecting process is performed based on a difference between the classes and a variation in the class, the calculation amount can be reduced and the identification performance which is higher than that of a method which uniformly processes the whole portion of the pattern can be attained.

Sheet identifying apparatus and sheet identifying method

According to one embodiment of the present invention, there is provided a pattern recognition method of approximating distribution of a set of vectors and a class boundary in a vector space based on basis functions. The method includes defining directional basis functions between two basis vectors, and performing the approximation using a linear combination of the directional basis functions.

Pattern recognition method

An image processing apparatus according to one embodiment of the invention includes a first image reading unit configured to read an image from an object to be read by visible light, a second image reading unit configured to read an image from the object to be read by invisible light, a first detection unit configured to detect a background image from a first read image read by the first image reading unit, a registration unit configured to register feature information indicative of a feature of the background image detected by the first detection unit, and a second detection unit configured to detect an image indicative of code information from a second read image read by the second image reading unit on the basis of the feature information registered in the registration unit.

Bar code processing apparatus

The present invention is directed to an address recognition apparatus for recognizing a written address. The apparatus includes an input device that receives a scanned image of the written address and transforms the image into digital data, a character recognizing section that recognizes a word string in the digital data on a unit character basis, a word extracting section that extracts characters recognized by the character recognizing section on a unit word basis, and an address word string dictionary that previously stores a plurality of first word strings. The apparatus further includes and an address word string recognizing section that collates a second word string, determines words of the second word string respectively corresponding to the words of the first word string, evaluates each of the first word strings, and recognizes one of the first word strings as the address word string.

Word string collating apparatus, word string collating method and address recognition apparatus

In a word string collating method for collating an input word string and address data in an address dictionary when a word string using part of a plurality of words of a word string such as address information is extracted from the result of character recognition for the word string including the plurality of words, words of the input word string and words used as the address data in the address dictionary are set to correspond to each other, distances between the words are derived based on similarities between the words which are set into the correspondence relations, the positional relation of each word of the input word string which is set into the correspondence relation is derived, an evaluated value is derived based on the thus derived positional relation and the distance between the words which are set in the correspondence relation, and a partial word string extracted from the input word string is determined based on the evaluated value.

A pattern recognition apparatus includes a pattern analyzer for analyzing a similarity between an input pattern and a learning pattern, a hypothetic pattern forming section for forming, as a hypothetic pattern, a predetermined pattern corresponding to the input pattern in accordance with an analysis result from the pattern analyzer, a comparator for comparing the hypothetic pattern formed by the hypothetic pattern forming section with the input pattern, an attribute descriptor in which a comparison result obtained by the comparator and the analysis result obtained by the pattern analyzer are described, and an inference section for, referring to a description described in the attribute descriptor, outputting a clear analysis result obtained from the pattern analyzer as a final recognition result, and starting the hypothetic pattern forming section in response to an ambiguous analysis result by the pattern analyzer.

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Kunitachi, Japan

Naotake Natori