Abstract: The invention performs handwriting recognition using mixtures of Bayesian networks. A mixture of Bayesian networks (MBN) consists of plural hypothesis-specific Bayesian networks (HSBNs) having possibly hidden and observed variables. A common external hidden variable is associated with the MBN, but is not included in any of the HSBNs. Each HSBN models the world under the hypothesis that the common external hidden variable is in a corresponding one of its states. The MBNs encode the probabilities of observing the sets of visual observations corresponding to a handwritten character. Each of the HSBNs encodes the probabilities of observing the sets of visual observations corresponding to a handwritten character and given a hidden common variable being in a particular state.

Abstract: A logical separation between pages, such as an implicit page break, is introduced to separate text entered during one handwriting session from text entered during another handwriting session. The amount of time elapsed since ink has been captured on the previous page is a factor that may be used to determine whether to insert an implicit page break into the new page. A change in context, such as a different date or different recognized subject matter labels, is also a factor that may be considered in determining whether to insert an implicit page break.

Abstract: A mark position detection apparatus includes: an illumination unit that illuminates a substrate having a mark formed thereupon; an image-capturing unit that captures an image of the substrate by using reflected light from the substrate and outputs image signals; a storage unit at which information related to fixed pattern noise contained in the image signals output by the image-capturing unit is stored in memory; and a control unit that calculates a position of the mark on the substrate based upon the information related to the fixed pattern noise stored in memory at the storage unit and the image signals output from the image-capturing unit.

Abstract: Improved methods and apparatuses are provided for use in face detection. The methods and apparatuses significantly reduce the number of candidate windows within a digital image that need to be processed using more complex and/or time consuming face detection algorithms. The improved methods and apparatuses include a skin color filter and an adaptive non-face skipping scheme.

Abstract: A system and method for switching between handwriting recognizers is described. A user may select between various recognizers to associate received handwritten ink with the recognizers. Accordingly, a user is able to write in a first language, switch and write in a second language, then switch again and write in the first language using aspects of the present invention.

Abstract: Databases and a system for operating on such databases are described in which data representative of first head shapes and corresponding modified head shapes and corresponding cranial remodeling devices are provided.

Abstract: Disclosed is an interpolation pixel value determining method for dividing a unit region including the contour of an object into reference unit sections for each line along a predetermined direction, to find, using a region interposed between the two reference unit sections as an interpolation unit section, an interpolation pixel value in the interpolation unit section, in which a luminance total and a center of gravity are calculated in each of the two reference unit sections with the interpolation unit section interposed therebetween, the estimated values of a luminance total and a center of gravity in the interpolation unit section are found from the luminance totals and the centers of gravity in the two reference unit sections, and each of interpolation pixel values in the interpolation unit section is determined such that the luminance total and the center of gravity in the interpolation unit section are respectively values close to the estimated values.

Abstract: A method of reducing noise in an image by decomposing the digital signal representation of the image into a sequence of detail images representing detail at successive scales and a residual image and modulating pixels of at least some of the detail images by applying modulating coefficients. The modulating coefficients are deduced from a single contrast-to-noise ratio image which represents the local contrast-to-noise ratio in each pixel at a predefined scale.

Abstract: A method and apparatus for recognizing and searching for a face using 2nd-order independent component analysis (ICA) are provided. The method includes performing PCA on an input original image and generating a low-pass filtered image by removing high-frequency component from the original image, subtracting the low-pass filtered image from the original image and obtaining residual image having only frequency-components, and performing ICA on the residual image and generating feature information corresponding to the original image. While an original ICA subtracts independent components (i.e., independent basis components) from gray scale images, the proposed 2nd-order ICA is robust to illumination variation since it is applied to make the remaining images correspond to high pass frequency components.

Abstract: A method and apparatus are provided for identifying differences between a stored pattern and a matching image subset, where variations in pattern position, orientation, and size do not give rise to false differences. The invention is also a system for analyzing an object image with respect to a model pattern so as to detect flaws in the object image. The system includes extracting pattern features from the model pattern; generating a vector-valued function using the pattern features to provide a pattern field; extracting image features from the object image; evaluating each image feature, using the pattern field and an n-dimensional transformation that associates image features with pattern features, so as to determine at least one associated feature characteristic; and using at least one feature characteristic to identify at least one flaw in the object image. The invention can find at least two distinct kinds of flaws: missing features, and extra features.

Abstract: A method for producing a cropped digital image, includes the steps of: providing a plurality of partially overlapping source digital images; providing a cropping aspect ratio L:H, the cropping aspect ratio being the ratio of the length to the height of the cropped digital image; providing a cropping criterion, the cropping criterion being a criterion for the size and location of the cropped digital image; combining the source digital images to form a composite digital image; selecting the cropping region of the composite digital image according to the cropping criterion, said cropping region being a rectangular region having aspect ratio L:H, and having size and location determined by the cropping criterion; and, cropping the composite digital image to the cropping region to form a cropped digital image.

Abstract: A method of representing an object appearing in a still or video image, by processing signals corresponding to the image, comprises deriving a plurality of numerical values associated with features appearing on the outline of an object starting from an arbitrary point on the outline and applying a predetermined ordering to said values to arrive at a representation of the outline.

Abstract: The present invention improves image quality by detecting and enhancing edges in an image. Images often include blurry or fuzzy edges that can obscure an image. An edge is a portion of an image separating two regions of substantially constant image intensity. An image can be examined on a pixel-by-pixel basis to find a candidate edge. When a candidate edge is found, a determination can made as to whether the candidate edge is a true edge. A true edge can be enhanced by amplifying the image intensity differences between pixels on the true edge and adjacent pixels not on the true edge. The present invention also provides a novel image processing filter for eliminating well-known noise from an image. The image processing filter can further improve edge enhancement by eliminating such noise prior to the edge detection and enhancement.

Abstract: A two-dimensional code recognition processing method for recognizing a two-dimensional code lade of a plurality of square cells arranged in accordance with predetermined layout rules. The method comprises the steps of: generating binary data from image information acquired externally in accordance with a predetermined threshold value; detecting a reference cell serving as a reference in recognizing the two-dimensional code based on the binary data generated in the binary data generating step; detecting corner cells each located in a predetermined search range with respect to the reference cell detected in the reference cell detecting step, on the basis of the binary data generated in the binary data generating step; and detecting code data assigned to the two-dimensional code existing inside an area of a code part enclosed by the reference cell and by the corner cells on the basis of the binary data generated in the binary data generating step.

Abstract: A stereo camera and an examination screen having a pattern based on grid lines are arranged at prescribed positions relative to each other. The stereo camera photographs the examination screen to obtain two original images. A stereoscopic image characteristics detection unit obtains the coordinates of each grid point on each image. A correction data generation unit generates correction data for correcting a variation in the image characteristics on the basis of the obtained coordinates and the corresponding ideal coordinates stored previously of each grid point. A correction data writing unit writes the generated correction data into a stereoscopic image recognition unit. Thus, prior to shipment of the stereo camera and the stereoscopic image recognition unit or upon readjustment after shipment, the characteristics of an stereoscopic image are examined to obtain high-accurate correction data. The high-level capability of the stereo camera is maintained using the correction data.

Abstract: The invention relates to an image analysis process for measuring the signal on biochips organized into one or several blocks each comprising a large number of spots each composed of at least one probe, the said process being characterized in that it comprises the following steps: a deposit is made with a constant pitch, the spots appearing in the form of a periodic and regular signal; this periodicity property is used to identify the position of the blocks and the spots, this periodicity being searched for on projections of the image in the x and y directions.

Abstract: The present invention relates to a method of processing postal matters in an automatic address-reading system, an image of the surface of each article of mail having address information being obtained and delivered to a first automatic evaluation system, and incorporately evaluated address information being delivered for evaluation to a first video coding system. It is provided that the address information of those images which have not been completely evaluated in the video coding system are delivered, using the results of the video coding system to another automatic evaluation system.

Abstract: This is a security and identification system designed to obtain improved images for use by real-time facial recognition and identification systems for screening individuals passing through secure entry or checkpoints such as airport passenger terminals, government offices, and other secure locations. The system detects the presence of a subject at the checkpoint, interactively instructs the subject to stop and move into position for proper identification and recognition, analyzes the facial features of the subject as (s)he passes through the checkpoint, and compares the features of the subject with those in a database. The system then generates different signals depending upon whether or not the subject is recognized. In one aspect of the invention, different methods and apparatus are provided for compensating for low ambient light so as to improve the quality of the facial image of the subject that is obtained.

Abstract: The present invention relates to the automated and semi-automated cropping of electronic images, and in particular to an apparatus and a method of using an electronic camera to capture and crop such electronic images. An electronic imaging processing device (1) for cropping an electronic image comprises an image processing means (6,8), the image processing means including an electronic processor (6) and firmware and/or software for processing the electronic image. The device (1) processes the electronic image to identify one or more features relevant to the composition of the electronic image, each such feature having one or more compositionally significant properties from amongst a plurality of different predetermined compositional properties, and each such feature occupying a sub-region of the electronic image.

Abstract: The invention provides a superior electrostatic capacitance detection device. An electrostatic capacitance detection device includes an M number of individual power-supply lines and an N number of individual output lines arranged in a matrix of M rows and N columns, and an electrostatic capacitance detecting element formed at the intersection thereof. The electrostatic capacitance detecting element includes a signal detection element and a signal amplifying element. The signal detection element includes a capacitance detecting electrode and a capacitance detecting dielectric layer. The signal amplifying element includes an MIS thin-film semiconductor device for signal amplification, including a gate electrode, a gate insulator, and a semiconductor layer.