An imaging system for a vehicle includes an imaging device having a field of view exteriorly and forward of the vehicle in its direction of travel, and an image processor operable to process the captured images in accordance with an algorithm. The algorithm comprises a sign recognition routine and a character recognition routine. The image processor processes the image data captured by the imaging device to detect signs in the field of view of the imaging device and applies the sign recognition routine to determine a sign type of the detected sign. The image processor is operable to apply the character recognition routine to the image data to determine information on the detected sign. The image processor applies the character recognition routine to the captured images in response to an output of the sign recognition routine being indicative of the detected sign being a sign type of interest.

Imaging system for vehicle

A forward-facing vision system for a vehicle includes a forward-facing camera disposed in a windshield electronics module attached at a windshield of the vehicle and viewing through the windshield. A control includes a processor that, responsive to processing of captured image data, detects taillights of leading vehicles during nighttime conditions and, responsive to processing of captured image data, detects lane markers on a road being traveled by the vehicle. The control, responsive to lane marker detection and a determination that the vehicle is drifting out of a traffic lane, may control a steering system of the vehicle to mitigate such drifting, with the steering system manually controllable by a driver of the vehicle irrespective of control by the control. The processor, based at least in part on detection of lane markers via processing of captured image data, determines curvature of the road being traveled by the vehicle.

Vision system for vehicle

A vehicular vision system includes a camera having a lens and a CMOS photosensor array having a plurality of photosensor elements. The camera is disposed at an interior portion of a vehicle equipped with the vehicular vision system. The camera one of (i) views exterior of the equipped vehicle through the windshield of the equipped vehicle and forward of the equipped vehicle and (ii) views from the windshield of the equipped vehicle into the interior cabin of the equipped vehicle. A control includes an image processor that processes image data captured by the photosensor array. The image processor processes captured image data to detect an object viewed by the camera. The photosensor array is operable at a plurality of exposure periods and at least one exposure period of the plurality of exposure periods is dynamically variable.

Vehicular vision system

A system and method for automatically providing content associated with captured information is described. In some examples, the system receives input by a user, and automatically provides content or links to content associated with the input. In some examples, the system receives input via text entry or by capturing text from a rendered document, such as a printed document, an object, an audio stream, and so on.

Automatically providing content associated with captured information, such as information captured in real-time

A device for capturing rendered text is described. The device incorporates one or more visual sensors that receive visual information as a part of capturing rendered text. The visual sensors are collectively capable of capturing both text that is permanently printed on a page, and text that is displayed transitorily on a dynamic device. The device further incorporates a visual information disposition subsystem for disposing of visual information received by the visual sensors. The device further incorporates a package that bears the visual sensors and the visual information disposition subsystem, and is suitable to be held in a human hand.

Handheld device for capturing text from both a document printed on paper and a document displayed on a dynamic display device

PROBLEM TO BE SOLVED: To surely recognize a character by a simple constitution by discriminat ing a character with an erasing line added with a simple erasing line or a complicated erasing line or a normal character without the erasing line so as to recognize a character concerning the normal character. SOLUTION: A picture input processing means 11 inputs a picture to segment and pre-process a character pattern from an input picture. A character with erasing line discriminating processing means 12 discriminates whether a character is an erasing line character added with one of the simple erasing line consisting of a segmented line in a fixed direction such as a horizontal line or a vertical line, etc., which is supposed to express the erasing of the character or a complicated erasing line with a complicated line state, and an identification means 13 identifies it. Then, a character with an erasing line means a character with an erasing line expressing the erasing of the character, simple erasing line means an easing line consisting of only a segmented line in a fixed direction such as a horizontal line or a vertical line which is supposed to express the erasing of the character, and a complicated erasing line is what erases a character by drawing a complicated line on the a character.

Character recognizing device and its method

PROBLEM TO BE SOLVED: To improve the precision of character recognition by generating a segment pattern in a specific direction from a character pattern, extracting feature data from the generated segment pattern, and analyzing the feature data and deciding whether or not the data are a deletion line. SOLUTION: The observation part 2 of the character recognition device 1 reads characters entered into a document A by a scanner, etc., and converts them into binary image data, a character segmentation part 3 separates the binary image data into respective characters, and a preprocessing part 4 removes noise from the segmented characters to normalize the sizes, etc. A segment pattern generation part 91 generates a segment pattern in a specific direction from the normalized character patterns and a segment extraction part 92 extracts feature data from the generated segment pattern. Further, a deletion line decision part 93 analyzes the feature data on the segment pattern to decide whether the data are a deletion line. Therefore, the precision of the character recognition can be improved.

Character recognition part

PROBLEM TO BE SOLVED: To provide a form identification method capable of precisely identifying a form of a table included in an arbitrary input image SOLUTION: In this form identification method, from an input image obtained from an input device, first information representing the length and the relative values of the position of each ruled line for its outline part are first extracted From the input image, second information representing the length and the relative values of the positions between ruled lines included in it are extracted The first and second information pieces are checked against respective information pieces respectively corresponding to the first and second information pieces in forms of respective tables used as models previously stored in a storage device and the degree of similarity between the input image and the form of each table used as the model is calculated Finally, the form having the highest degree of similarity obtained by the calculation of the degree of similarity within the forms of the respective tables used as the model is output from an output device as an optimum form corresponding to the input image COPYRIGHT: (C)2007,JPO&INPIT

Form identification method

The invention discloses an object identification device and method The object identification device comprises an edge direction distribution mode calculating device and a classifier, wherein the edge direction distribution mode calculating device is configured to calculate an edge direction distribution mode of each partial area in a plurality of partial areas of a candidate object, and the edge direction distribution modes are as edge direction distribution mode characteristics of the plurality of partial areas of the candidate object; and the classifier is configured to perform classification on the candidate object based on the edge direction distribution mode characteristics of the plurality of partial areas

Object identification device and method

The present invention discloses an object recognizing method and an object recognizing device. The object recognizing method according to the invention is used for recognizing an object with a specific color distribution characteristic and a specific contour characteristic. The method includes the steps of: extracting a contour in an input image according to the color distribution characteristic thereof; determining a scan window using the extracted contour according to the contour characteristic and the color distribution characteristic; and classifying a part of the image corresponding to the determined scan window and determining whether the part of the image contains the object.

Naoi Satoshi

Papers

Character recognizing device and its method

Character recognition part

Form identification method

Object identification device and method

Object recognizing method and object recognizing device