Ricoh Company, Ltd.

Michiyoshi Tachikawa

Toshio Miyazawa

Takashi Saitoh

Yukio Sakano

Yoshio Kaneko

Takeshi Ukai

Toshiya Hikita

Shigeo Kurotaka

Kyoji Omi

Hiromi Okubo

Kouji Ishigaki

Hiroshi Takahashi

Hideaki Yamagata

Shinji Yamakawa

Kazuo Murai

Midori Aida

Tadato Hashiguchi

Akihiko Hirano

Hiroshi Shimura

Hiroyasu Sumida

Haruhiko Fukuda

Goroh Bessho

Hiroshi Nakayama

Fumihiro Hasegawa

Hiroyoshi Ishizaki

Masayuki Ishigami

Hiroaki Nagatsuka

Tatsuya Kuranaga

Miwa Kawano

Mayumi Nishimura

A projection display device including: an image light projecting unit that projects image light on a screen; a distance measurement unit that measures distance to the screen; an obstacle detecting unit that detects an obstacle between the screen and the image light projecting unit on the basis of distance information obtained by the distance measurement unit and, according to a result of this detection, determines an adjustment area where the image light to be projected is to be adjusted; and a projection adjusting unit that adjusts the image light in the adjustment area are included.

Projection display device, information processing device, projection display system, and program

There are provided a data recording medium, a reading device for reading the data recording medium, a recording device for reading the data recording medium and recording data to other media, and methods thereof able to prevent forgery without comparing visible information and data stored in a built-in electronic circuit chip. The reading device is for reading a data recording medium including a sheet portion visibly printed with an image and a data storage unit recorded with control data. The reading device comprises a first reading unit adapted to optically read the image on the sheet portion, a second reading unit adapted to read the control data including read permission data indicating whether reading of the image is permitted, a determination unit adapted to determine whether reading of the image by the first reading unit is permitted based on the read permission data obtained by the second reading unit, and a controller adapted to control the first reading unit based on the determination by the determination unit.

Data recording medium, reading device, recording device, and methods thereof

An image detecting method comprises the steps of: a) searching for a pattern satisfying a predetermined commencement requirement by scanning an input image; b) using the pattern as a starting point, with referring to a dictionary storing therein distances between the center line and an edge of a detection target semicircle, determining for each of a predetermined number of main scan lines along a sub-scan direction whether or not a predetermined edge pattern occurs within a respective range of the distance of the dictionary; and c) determining a detection of the semicircle when the number of error lines on which the predetermined edge pattern does not occur within the respective range of the distance of the dictionary is less than a predetermined threshold.

Image detecting method, image detecting system, program, and recording medium for image detection

An original image comprises a printed region on which a predetermined printed matter is realized and a background region on which no printed matter is realized. The shape of a peripheral zone in the original image comprises the shape of the background region, which shape exists particularly at the peripheral region of said original image. It is determined whether or not the original image comprises the special document by detecting the peripheral zone. Further, the original image has an outer-frame region, having a predetermined shape at the peripheral region of the original image. The determination is carried out using a result of measuring the width of the outer-frame region. Further, the width of the outer-frame region comprises a width along a direction substantially perpendicular to a direction extending along the outline of the original image.

Original-discrimination system for discriminating special document, and image forming apparatus, image processing apparatus and duplicator using the original-discrimination system

An image recognition apparatus for recognizing a specific image in an object image using image signals of the object image, the specific image having a possibility of being rotated. The image recognition apparatus includes an image information extraction unit for extracting an object image from the image signals as a candidate for recognition of the specific image and for extracting feature values from the object image using the image signals, and a match determining device coupled to the image information extraction unit for recognizing the specific image in the object image by a comparison of the extracted feature values from the object image with reference data for the specific image. The match determining device is controlled using the reference data according to an easy to determine rotation characteristic and difficult to determine rotation characteristic in the reference data for the specific image.

Image recognition method and apparatus using image rotation information

An image pattern recognition process and system recognize a rotated predetermined image pattern with reduced processing time and memory requirements based upon the efficient use of the Zernike Moment.

Method and system for recognizing a rotated image pattern with reduced processing time and memory space

A circumscribing rectangle is obtained for a black continuous image part using a two-tone image signal. If it is determined that the image part is possibly one which is obtained as a result of rotating the object, lengths of sides of the image part are compared with threshold values. If it is determined that the image part is not one which is obtained as a result of rotating the object, the height and horizontal length of the circumscribing rectangle are compared with the threshold values. Thus, it is determined whether or not the image part is identical to the object. An RGB chromaticity histogram is produced for each of small regions of an input color image. Each of the chromaticity histograms of the small regions is compared with reference ones. As a result of the comparison, an identification number of the reference histogram having the highest similarity to that of the small region among those constituting the input image is given to the small region. A histogram of the identification numbers thus is produced for the input color image. The thus-produced histogram is used to determine which one of a plurality of objects is identical to the input color image.

Image extraction method and apparatus and image recognition method and apparatus for extracting/recognizing specific images from input image signals

Image extraction method and apparatus, and image recognition method and

A reference-character size determination unit determines a reference-character size based on a distribution of sizes of particular continuous image parts, the continuous image parts constituting an image. An image part sorting unit sorts the particular continuous image parts into character image parts and other image parts based on the reference-character size. A rectangle determination unit determines a rectangle for each continuous image part, a size of the rectangle corresponding to a size of the corresponding continuous image part. The reference-character size determination means determines the reference-character size based on a distribution of sizes of the rectangles. The image part sorting means sorts the particular rectangles into rectangles for the character image parts and rectangles for the other image parts based on the reference-character size. The character image part integrating unit integrates the particular character image parts with each other when particular character image parts have a predetermined character relationship.

Apparatus and method for area separation for image, having improved

An original image comprises a printed region on which a predetermined printed matter is realized and a background region on which no printed matter is realized. The shape of a peripheral zone in the original image comprises the shape of the background region, which shape exists particularly at the peripheral region of said original image. It is determined whether or not the original image comprises the special document by detecting the peripheral zone. Further, the original image has an outer-frame region, having a predetermined shape, at the peripheral region of the original image. The determination is carried out using a result of measuring the width of the outer-frame region. Further, the width of the outer-frame region comprises a width along a direction substantially perpendicular to a direction extending along the outline of the original image.

Original-discrimination system for discriminating special document, and

The present invention relates to a special-document discriminating apparatus used for providing a counterfeit preventing function to a digital copy machine and the like, and to a managing system for an image forming apparatus having a special-document discriminating function. The special-document discriminating apparatus is provided with a ROM for discriminating a special-document such as paper money, which ROM is detachably attached to a controlling circuit board. Data used for determination may be learned from test pattern data input from the image forming apparatus, or the data may be input from an external unit via a communication line. The managing system for an image forming apparatus comprises an image forming apparatus and a managing apparatus connected to the image forming apparatus. Either the image forming apparatus or the managing apparatus has a special-document discriminating function. Additional information is sent from the image forming apparatus together with determination result information or detected data. Information used as reference for determination may be sent from the managing apparatus to the image forming apparatus.

Special-document discriminating apparatus and managing system for image

Image forming apparatus which adds identification information to

A binarization method obtains an optimum threshold value for binarization which is used when converting a multi-level image data which describes an input image into a black-and-white bi-level image data. The binarization method includes the steps of counting a first number of black picture elements by varying a threshold value from a darkest tone level to a lightest tone level, counting a second number of picture elements having a tone level other than the lightest tone level, obtaining a percentage of the first number with respect to the second number for each of the varied threshold values so as to normalize a density of the input image, and determining the optimum threshold value for binarization based on the percentage which is obtained for each of the varied threshold values.

Binarization method

Method of obtaining optimum threshold values

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Kanagawa, Japan

Michiyoshi Tachikawa