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

An image processing apparatus for extracting the specified objects has a background image extract unit for extracting a background; a first average background extract unit which extracts an image that includes a plurality of stationary and moving objects each having a speed not higher than a predetermined first speed and also the background; a second average background extract unit which extracts an image that includes the stationary and moving objects each having a speed not higher than a predetermined second speed and also the background; a first difference-calculation processing unit which calculates a difference between an output from the background image extract unit and an output from the first average background extract unit as a first speed image; a second difference-calculation processing unit which calculates a difference value between two outputs from the first and second average background extract units as a second speed image; and a third difference-calculation processing unit which calculates a difference value between an original image and either one of outputs from the first and second average background extract units as a third speed image.

Image processing apparatus

A document image search apparatus generates a text by performing the character recognition of a document image and determines a re-process scope. Then, the apparatus generates a candidate character lattice from the re-recognition result of the re-process scope, generates character strings from the candidate character lattice and adds the character strings to the text. Then, the apparatus performs index search using the text with the character strings added.

Apparatus for searching document images using a result of character recognition

A title extracting apparatus scans black pixels in a document image and extracts rectangular regions that circumscribe connected regions of the black pixels as character rectangles. In addition, the title extracting apparatus unifies a plurality of character rectangles that adjoin and extracts rectangular regions that circumscribe the character rectangles as character string rectangles. Thereafter, the title extracting apparatus calculates points with the likelihood of being a title corresponding to attributes such as an underline attribute, a frame attribute, and a ruled line attribute of each character string rectangle, the positions of the character string rectangles in the document image, and the mutual position relation and extracts a character string rectangle with the highest points as a title rectangle. In the case of a tabulated document, the title extracting apparatus can extract a title rectangle from the inside of the table. Characters extracted from the title rectangle are used as keywords of a document image by the character recognizing process.

Title extracting apparatus for extracting title from document image and method thereof

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.

Address recognition apparatus and method

For a plurality of handwritten characters extracted from an input image, a character category for each character is first determined by a character recognition process. Second, according to a clustering process, similarity levels of character-forms among extracted characters are determined, and based on the determination result, the character category determination result from the first character recognition process is modified.

Naoi Satoshi

Papers

Image processing apparatus

Apparatus for searching document images using a result of character recognition

Title extracting apparatus for extracting title from document image and method thereof

Address recognition apparatus and method

Handwritten character recognition apparatus and method using a clustering algorithm