Abstract: An information processing method includes determining, in a luminance image that represents luminance components of an input image obtained by capturing a document image, a shaded region affected by shade and a specific pixel region including specific pixels less affected by the shade through a color of an object in the document image by using the luminance components of pixels of the luminance image, and generating a shade image that represents shade components of the input image by referring to pixel values of pixels adjacent to the specific pixels and repeating replacement processing of replacing a pixel value of each of the specific pixels with a value of the shaded region adjacent to the specific pixel until the specific pixel region disappears.

Abstract: An image analyzing unit of an image retrieving device capable of retrieving an image using a local feature quantity includes: an input unit configured to input an image; a reception unit configured to receive designation of a retrieval condition corresponding to a retrieval source image via a user interface; a selection unit configured to select a retrieval method on the basis of the retrieval condition; a calculation unit configured to calculate a local feature quantity of an image on the basis of the selected retrieval method; and a comparison unit configured to compare a local feature quantity of a retrieval target image with a local feature quantity of the retrieval source image.

Abstract: An information processing apparatus that generates learning data used in learning a classification rule for classifying an image that is input from an image input device. A reception unit receives an initial image that is input from the image input device. A first generation unit generates an image that is different from the initial image, by correcting the initial image using a coefficient determined based on information about a type of the input device. A second generation unit generates the learning data using the image generated by the first generation unit and the input image. A learning unit generates the classification rule using the learning data generated by the second generation unit.

Abstract: An information processing method includes calculating at least one difference value between a pixel value of a target pixel in an input image obtained by capturing a document image and a pixel value of a corresponding pixel in a shade component image at coordinates identical to those of the target pixel. The shade component image represents shade components of the input image. The shade components depend on an image capture environment. The method further includes correcting the pixel value of the target pixel in the input image based on a correction rate to correct a shade component in the target pixel. The correction rate depends on at least one difference value associated with the target pixel in the input image.

Abstract: An information processing method includes determining, in a luminance image that represents luminance components of an input image obtained by capturing a document image, a shaded region affected by shade and a specific pixel region including specific pixels less affected by the shade through a color of an object in the document image by using the luminance components of pixels of the luminance image, and generating a shade image that represents shade components of the input image by referring to pixel values of pixels adjacent to the specific pixels and repeating replacement processing of replacing a pixel value of each of the specific pixels with a value of the shaded region adjacent to the specific pixel until the specific pixel region disappears.

Abstract: A server is provided which generates learning data used in learning a classification rule for classifying an image that is input from an image input device. The server receives an initial image that is input from an image input device. The server also acquires device information on an image input device. Furthermore, the server generates an image different from the initial image using a parameter determined based on the device information to generate learning data using the generated image and the input image.

Abstract: An inspection apparatus inspects a printed product by positioning a reading target image of the printed product relative to a reference image and collating the reading target image with the reference image includes a positioning unit configured to perform positioning processing for the reference image and the reading target image with a first precision, and a detection unit configured to detect an image defect candidate area by collating the reading target image with the reference image, which have been positioned by the positioning unit. The positioning unit newly performs the positioning processing for the reference image and the reading target image in the image defect candidate area with a second precision that is higher than the first precision. The detection unit detects an image defect by collating the reading target image with the reference image in an area having been newly subjected to the positioning processing using the second precision.

Abstract: An image processing apparatus includes an image forming unit configured to form an image, a designation unit configured to designate an area with respect to image data obtained by reading the image formed by the image forming unit, an acquisition unit configured to acquire image feature information of image data included in the area designated by the designation unit, an estimation unit configured to estimate a cause of an abnormal image included in the designated area by using the image feature information acquired by the acquisition unit, and a determination unit configured to determine a chart to be formed by the image forming unit by using an estimation result of the estimation unit.

Abstract: This invention provides a technique of preventing a collision between an original document and a printing material on a conveyance path when an image forming apparatus executes both additional printing on the original document and printing on the printing material. In a case where both additional printing on an original document and printing on a printing material are executed, the image forming apparatus according to one aspect of the invention conveys a read original document to a transfer unit through a conveyance path commonly used for an original document and sheet, and prints an image to be added on the original document. After the original document is conveyed to the transfer unit through the conveyance path, the image forming apparatus feeds a sheet from a sheet feeding unit to the conveyance path, and performs copying on the sheet in the transfer unit.

Abstract: Disclosed is a method (160) for identifying potential tamper in a candidate document having content affected by noise. A candidate content value for each of a plurality of sub-regions of the candidate document and an original content value for each of a plurality of sub-regions of a corresponding original document are determined. The content values are desirably determined based on at least one characteristic of the content in the corresponding sub-region. The candidate content values (330) are associated with the corresponding original content values and a distribution of the candidate content values based on the corresponding original content values is determined. The method characterizes (340) the noise in the candidate document by determining an expected content value range based on the spread of a selected part of the distribution of candidate content values. The method can then identify (350) candidate content values outside the expected content value range as potential tamper.

Abstract: In an image forming apparatus for making a position deviation correction, a position deviation amount can be accurately calculated by stabilizing the detection result at position deviation detecting and considering an ideal correction amount and an actual correction amount to make the position deviation correction accurately. A forming unit forms a pattern for position deviation detection without making the position correction for less than one pixel by an image position correcting unit, to a pattern formed in the vicinity of a detection region of a detecting unit, and the position deviation amount is calculated by using a value of a position correction which is not made to the pattern for position deviation detection to be formed.

Abstract: An image processing apparatus extracts an area for each color from an illustration area, specifies an area that is in contact with the boundary of the illustration area, extracts a color around the illustration area, determines whether or not the extracted color around the illustration area is the same as the color of the specified area, and processes vector data that represents an area that has been determined as having the same color.

Abstract: This invention provides a technique of preventing a collision between an original document and a printing material on a conveyance path when an image forming apparatus executes both additional printing on the original document and printing on the printing material. In a case where both additional printing on an original document and printing on a printing material are executed, the image forming apparatus according to one aspect of the invention conveys a read original document to a transfer unit through a conveyance path commonly used for an original document and sheet, and prints an image to be added on the original document. After the original document is conveyed to the transfer unit through the conveyance path, the image forming apparatus feeds a sheet from a sheet feeding unit to the conveyance path, and performs copying on the sheet in the transfer unit.

Abstract: In prior art, there are some occasions where functions of a copy-forgery-inhibited pattern are impaired when printed on a sheet after rotation because of the level difference appearing between the density level of a latent image portion and the density level of a background portion of a copy-forgery-inhibited pattern. To cope with the problem, the image processing apparatus which has a generating unit for generating copy-forgery-inhibited pattern image data and a rotation unit for rotating the generated copy-forgery-inhibited pattern image data, wherein the generating unit generates the copy-forgery-inhibited pattern image data to be rotated by the rotation unit in accordance with a rotation angle in the rotation unit.

Abstract: A falsification detection threshold value for falsification detection is automatically determined. A falsification detection portion (4) performs division into uniform detection units, and calculates, for each of the cells of the detection units, the variation information of differential information on respective regions that are included in the detection units and are divided as described above (S802). It is understood that cells (901), (902) and (903) have values of 8, 170 and 140, respectively. The falsification detection portion (4) uses the variations in the differential information calculated in step S802 to calculate a differential information threshold for determining a falsified region within an image read by scanning (S803). The average value and the standard deviation of a region where falsification is not conducted are relatively small, and the average value and the standard deviation of a region where falsification is conducted are relatively large.

Abstract: Each object in input image data is separated into an area by an image area separation unit. An area determined to be a character area based on the image area separation processing is smoothened by an MTF correction unit. The resulting data is then binarized by a binarizing unit. The binarized data is split according to types of objects, and characters and line drawings are vectorized and stored in a storage unit. Alternatively, the characters and line drawings are printed out.

Abstract: The subject of the present invention is to provide an apparatus which can improve decoding performance in the decoding processing of an encoded image pattern to reduce a load of the decoding processing. For solving the above problem, an apparatus according to the present invention is an apparatus for decoding an encoded image pattern having a detection pattern, the apparatus comprising a detecting unit configured to detect the detection pattern from an image, a correcting unit configured to correct a density of the encoded image pattern of which a position is specified by the detected detection pattern, based upon a density of the detected detection pattern, and a decoding unit configured to decode the encoded image pattern of which a density has been corrected.

Abstract: There are cases in which an effective search index cannot be provided to an image data only by extracting character codes from a character object in PDL data. An image processing apparatus of the present invention obtains image data by rendering PDL data, and extracts a character object from the image data. The image processing apparatus performs character recognition processing on the extracted character object to obtain character code information, and provides metadata including the character code information to the image data.

Abstract: The present invention improves security of image data when communication between an image managing apparatus that stores the image data of a submitted job and an image processing apparatus is not possible. To accomplish this, for executing a specific process according to a submitted job, the image data and log information of the job is transmitted to the image managing apparatus to store them when the image processing apparatus can communicate with the image managing apparatus. After transmission of the image data and the log information, upon receiving a notification indicating the completion of storage from the image managing apparatus, control is made to execute a specific process on the image data.

Abstract: An input image is segmented into regions based on attributes of the input image. It is determined whether each segmented region is an illustration region. When it is determined that the segmented region is an illustration region, the color of the determined illustration region is compared with that of a region around the illustration region. When these colors coincide with each other as a result of the comparison, attribute information of the illustration region is changed to that of the region around the illustration region. Print data is generated based on the changed attribute information.