Abstract: When an operator starts a pattern separation extraction tool, an input screen is displayed on the display device. The operator can choose and designate any one of document image data within the storage device through the input screen. The document image that is chosen by the operator is displayed on the display device. The operator can choose and designate a color sample by a drag operation on the document image that is displayed on the display device. If the operator inputs the designation to finish the designation of a color sample through the input device after designating some color samples, the pattern separating extraction device generates and outputs the image data that consists of one print pattern for each of the print patterns included in the document image chosen by the operator.

Abstract: A storage medium storing a character recognition program for causing a computer to execute a process, the process including comparing a structure of a target pattern regarded as one character with a structure of a one-character pattern stored in a storage section and determining whether the target pattern is a pattern including a plurality of characters, on the basis of a result of the comparing.

Abstract: A set of straight lines that associate a top parallel geodesic projection positioned at an upper end with a bottom parallel geodesic projection positioned at a lower end, among sets of parallel geodesic projections, is extracted as a set of ruled-line candidate projections as a search target of a set of ruled line projections. A deviation of neighborhood, which is a distance between a cross ratio vector of the ruled-line candidate projection and a cross ratio vector of a neighboring line obtained by shifting the ruled-line candidate projection by a predetermined interval, is calculated for each ruled-line candidate projection. A set of straight lines having the smallest sum total of deviations of neighborhood, in the set of straight lines, which do not intersect with each other, among the sets of ruled-line projection candidates is extracted as a set of ruled line projections by continuous dynamic programming.

Abstract: A storage medium storing a character recognition program for causing a computer to execute a process, the process including comparing a structure of a target pattern regarded as one character with a structure of a one-character pattern stored in a storage section and determining whether the target pattern is a pattern including a plurality of characters, on the basis of a result of the comparing.

Abstract: A character recognition apparatus includes a division mechanism for dividing a diagram into a plurality of parts, a candidate character string acquisition mechanism for combining the plurality of parts of the diagram, and a character string selection mechanism for selecting one character string. The candidate character string acquisition mechanism includes at least one of first mechanism for duplicating a character line that touches adjacent characters and then including a duplicated character line as an element of a candidate character string, and second mechanism for including a candidate character string in which the touching character line between the adjacent characters has been removed, and a candidate character string in which the touching character line is contained, in the plurality of candidate character strings.

Abstract: According to an aspect of an embodiment, a method of character recognition out of an image having a frame and a plurality of characters in an area, comprises the steps of: dividing the area into a plurality of partial areas having a plurality of partial images, respectively; providing a template image having a reference frame image; calculating differences between the partial images and the reference frame image of the template image, respectively; calculating misalignment of the image from the template image based on the average of the differences of the partial images and the reference frame image; and recognizing the characters out of the image upon correction of the misalignment.

Abstract: A projection set of geodesic lines which are parallel with each other on a curved surface of a paper face is extracted from an image in which a paper face has been imaged by an image-pickup device, using the paper face contents as a clue; and also a projection set of ruling lines which form a ruled surface corresponding to the curved surface of the paper face is extracted from the projection set of geodesic lines. Then, the curved surface of the paper face is estimated from the projection set of the geodesic lines and ruling lines, and distortion of the image is corrected based on this curved surface of the paper face. If this is done, correspondence with various types of diverse distortions becomes possible, and distortion correction can be performed even when only one part of the paper face appears in the image.

Abstract: When an operator starts a pattern separation extraction tool, an input screen is displayed on the display device. The operator can choose and designate any one of document image data within the storage device through the input screen. The document image that is chosen by the operator is displayed on the display device. The operator can choose and designate a color sample by a drag operation on the document image that is displayed on the display device. If the operator inputs the designation to finish the designation of a color sample through the input device after designating some color samples, the pattern separating extraction device generates and outputs the image data that consists of one print pattern for each of the print patterns included in the document image chosen by the operator.

Abstract: A set of straight lines that associate a top parallel geodesic projection positioned at an upper end with a bottom parallel geodesic projection positioned at a lower end, among sets of parallel geodesic projections, is extracted as a set of ruled-line candidate projections as a search target of a set of ruled line projections. A deviation of neighborhood, which is a distance between a cross ratio vector of the ruled-line candidate projection and a cross ratio vector of a neighboring line obtained by shifting the ruled-line candidate projection by a predetermined interval, is calculated for each ruled-line candidate projection. A set of straight lines having the smallest sum total of deviations of neighborhood, in the set of straight lines, which do not intersect with each other, among the sets of ruled-line projection candidates is extracted as a set of ruled line projections by continuous dynamic programming.

Abstract: A document information input apparatus detects a position and an attribute of an area of a real document to be input designated by a user with high accuracy. Based on the detected position and attribute, the document information input apparatus recognizes an image of the area as text information by performing recognition processes suitable for the detected attribute such as character recognition, table recognition and a figure process. Then, the document information input apparatus pastes the resulting information to a pertinent position of an electronic document on a display. As a result, it is possible to input information such as a character sequence, a table and a figure from a real document to an electronic document at high speed and with high accuracy.

Abstract: A key word is first and automatically extracted from a character string group to be recognized, and entered. Then, a character is recognized by segmenting an individual character from a character string image to be recognized, and a character string corresponding to the extracted/entered key word id extracted. Then, a word area delimited by a key word is extracted from the character string image, and a word is recognized. Furthermore, a word recognition result is verified, and a final character string recognition result is output.

Abstract: A projection set of geodesic lines which are parallel with each other on a curved surface of a paper face is extracted from an image in which a paper face has been imaged by an image-pickup device, using the paper face contents as a clue; and also a projection set of ruling lines which form a ruled surface corresponding to the curved surface of the paper face is extracted from the projection set of geodesic lines. Then, the curved surface of the paper face is estimated from the projection set of the geodesic lines and ruling lines, and distortion of the image is corrected based on this curved surface of the paper face. If this is done, correspondence with various types of diverse distortions becomes possible, and distortion correction can be performed even when only one part of the paper face appears in the image.

Abstract: A pattern recognizing apparatus having a character extractor that extracts a character from an input image, a non-character extractor that extracts a non-character from an input image, a character recognizer that recognizes a character, a non-character recognizer that recognizes a non-character and an environment recognizer that instructs the character recognizer to perform a recognition process when the character extractor extracts a character, and that instructs the non-character recognizer to perform a recognition process when the non-character recognizer extracts a non-character.

Abstract: A pattern recognizing apparatus, having an environment recognizer that extracts a predetermined feature from an input image and a pattern recognizer that performs a pattern recognizing process after altering the process based on the feature extracted by the environment recognizer.

Abstract: A document information input apparatus detects a position and an attribute of an area of a real document to be input designated by a user with high accuracy. Based on the detected position and attribute, the document information input apparatus recognizes an image of the area as text information by performing recognition processes suitable for the detected attribute such as character recognition, table recognition and a figure process. Then, the document information input apparatus pastes the resulting information to a pertinent position of an electronic document on a display. As a result, it is possible to input information such as a character sequence, a table and a figure from a real document to an electronic document at high speed and with high accuracy.

Abstract: A pattern recognizing apparatus having a character extractor that extracts a character from an input image, a non-character extractor that extracts a non-character from an input image, a character recognizer that recognizes a character, a non-character recognizer that recognizes a non-character and an environment recognizer that instructs the character recognizer to perform a recognition process when the character extractor extracts a character, and that instructs the non-character recognizer to perform a recognition process when the non-character recognizer extracts a non-character.

Abstract: When a pattern of an address to be recognized is input, contact characters are separated after determining the contact position of the contact characters. A key character is extracted by recognizing characters for each of the separated characters. After extracting the key character, patterns delimited by the key character are collectively retrieved. A place-name word is recognized by comparing a feature vector of the entire pattern delimited by the key character with a feature vector of the place-name word.

Abstract: A paper document printed from an electronic document, in which a note is taken, is input as an image from a paper document inputting unit such as a scanner, an electronic camera, etc. A note image is extracted by a note extracting unit. The note image is then recognized by a note recognizing unit. A note recognition result and the note image are correlated to the original electronic document, and stored. Data of the correlation between the note data and the original electronic document is stored in a document information file.

Abstract: A key word is first and automatically extracted from a character string group to be recognized, and entered. Then, a character is recognized by segmenting an individual character from a character string image to be recognized, and a character string corresponding to the extracted/entered key word id extracted. Then, a word area delimited by a key word is extracted from the character string image, and a word is recognized. Furthermore, a word recognition result is verified, and a final character string recognition result is output.

Abstract: A pattern recognizing apparatus, having an environment recognizer that extracts a predetermined feature from an input image and a pattern recognizer that performs a pattern recognizing process after altering the process based on the feature extracted by the environment recognizer.