Abstract: A handwash monitoring system includes: an imaging device; and a processor. The processor detects a first candidate abnormality existing in a hand of a user from a first image captured by the imaging device before handwashing, and detects a second candidate abnormality existing in the hand of the user from a second image captured by the imaging device after the handwashing. The processor determines a type of an abnormality on the hand of the user based on a difference between a shape of the first candidate abnormality and a shape of the second candidate abnormality wherein the first candidate abnormality and the second candidate abnormality are detected from an identical region.

Abstract: A semiconductor light-emitting element includes: a first semiconductor layer of a first conductivity type; a light-emitting functional layer including a light-emitting layer formed on the first semiconductor layer; and a second semiconductor layer that is of a conductivity type opposite to that of the first semiconductor layer and is formed on the light-emitting functional layer. The light-emitting layer has a base layer with a plurality of base segments that have a composition subject to stress strain from the first semiconductor layer and are formed in a random net shape, and a quantum well structure layer formed from at least one quantum well layer and at least one barrier layer that are formed on the base layer. Each of the at least one quantum well layer has an InGaN composition so that the In composition increases as the distance to the second semiconductor layer decreases.

Abstract: A semiconductor light-emitting element includes a first semiconductor layer of a first conductivity type; a light-emitting functional layer that includes a light-emitting layer; and a second semiconductor layer that is formed on the light-emitting functional layer and is of a conductivity type opposite to a conductivity type of the first semiconductor layer. The light-emitting layer includes a base layer which has a composition subject to stress strain from the first semiconductor layer and has a plurality of base segments that are partitioned in a random net shape; and a quantum well structure layer composed of at least one quantum well layer and at least one barrier layer. The base layer has a composition of AlxGa1?xN (0?x?1), and the barrier layer has a composition of AlyGa1?yN (0?y<1), and the composition x and the composition y satisfy a relation of x>y.

Abstract: A semiconductor light-emitting element includes a first semiconductor layer of a first conductivity type; a light-emitting functional layer that includes a light-emitting layer; and a second semiconductor layer that is formed on the light-emitting functional layer and is of a conductivity type opposite to a conductivity type of the first semiconductor layer. The light-emitting layer includes a base layer which has a composition subject to stress strain from the first semiconductor layer and has a plurality of base segments that are partitioned in a random net shape; and a quantum well structure layer composed of at least one quantum well layer and at least one barrier layer. The base layer has a composition of AlxGa1?xN (0?x?1), and the barrier layer has a composition of AlyGa1?yN (0?y<1), and the composition x and the composition y satisfy a relation of x>y.

Abstract: An apparatus for object identification includes: a memory; and a processor coupled to the memory and configured to execute a determination process that includes determining whether a hand is in contact with an object, execute an identification process that includes identifying a first shape of an area of the object hidden by the hand in accordance with a second shape of the hand when the hand is determined to be in contact with the object in the determination process, and execute a distinguishing process that includes distinguishing the object based on the first shape in the identification process.

Abstract: A semiconductor light-emitting element includes: a first semiconductor layer of a first conductivity type; a light-emitting functional layer including a light-emitting layer formed on the first semiconductor layer; and a second semiconductor layer that is of a conductivity type opposite to that of the first semiconductor layer and is formed on the light-emitting functional layer. The light-emitting layer has a base layer with a plurality of base segments that have a composition subject to stress strain from the first semiconductor layer and are formed in a random net shape, and a quantum well structure layer formed from at least one quantum well layer and at least one barrier layer that are formed on the base layer. Each of the at least one quantum well layer has an InGaN composition so that the In composition increases as the distance to the second semiconductor layer decreases.

Abstract: A semiconductor light-emitting element includes a first semiconductor layer of a first conductivity type; a light-emitting functional layer that includes a light-emitting layer; and a second semiconductor layer that is formed on the light-emitting functional layer and is of a conductivity type opposite to a conductivity type of the first semiconductor layer. The light-emitting layer includes a base layer which has a composition subject to stress strain from the first semiconductor layer and has a plurality of base segments that are partitioned in a random net shape; and a quantum well structure layer composed of at least one quantum well layer and at least one barrier layer. The base layer has a composition of AlxGa1-xN (0?x?1), and the barrier layer has a composition of AlyGa1-yN (0?y<1), and the composition x and the composition y satisfy a relation of x>y.

Abstract: A video generation device includes a processor configured to detect a second vehicle present in front of a first vehicle or behind the first vehicle in a first direction in which the first vehicle travels. The first vehicle is mounted with the video generation device. The processor is configured to detect a first distance between the first vehicle and the second vehicle. The processor is configured to compare the first distance to a predetermined threshold value to acquire a first comparison result. The processor is configured to determine a first speed of a first image on basis of the first comparison result. The first image is included in a video and to be moved within the video in a direction determined on basis of the first direction. The processor is configured to generate the video on basis of the first speed and display the video via a display device.

Abstract: An apparatus for video generation includes: a memory; and a processor coupled to the memory and configured to execute a road surface end detection process to detect, from an image including a road surface along which a vehicle travels, a road surface end of the road surface in a widthwise direction, execute a calculation process to calculate a distance from the vehicle to the road surface end, execute a generation process to generate, when the calculated distance is smaller than a given threshold value, a video for inducing a driver of the vehicle to steer to a direction in which the distance increases, and execute a display control process to cause a display apparatus to display the generated video.

Abstract: An image processing apparatus, includes: a processor coupled to a memory, configured to: detect corresponding relationships between lines of two or more pairs in a pair of images each having different local deformation, correct the local deformation of each of the pair of images, based on the corresponding relationships between the lines of the two or more pairs in the pair of images, and concatenate the pair of images in which the local deformation is corrected into a single image.

Abstract: An image processing apparatus, includes: a processor coupled to a memory, configured to: detect corresponding relationships between lines of two or more pairs in a pair of images each having different local deformation, correct the local deformation of each of the pair of images, based on the corresponding relationships between the lines of the two or more pairs in the pair of images, and concatenate the pair of images in which the local deformation is corrected into a single image.

Abstract: An image recognition apparatus recognizes the correspondence between character strings and logical elements composing a logical structure in an image in which the character strings are described as the logical elements to recognize each logical element.

Abstract: A character area extracting device includes a reflective and non-reflective area separation unit separating image data into reflective and non-reflective areas, and binarizing the image data by changing a first threshold value when it is inappropriate; a reflective area binarizing unit separating the reflective area into character and background areas, and binarizing it by changing a second threshold value when it is inappropriate; a non-reflective area binarizing unit separating the non-reflective area into the character and background areas, and binarizing it by changing a third threshold value when it is inappropriate; a reflective and non-reflective area separation evaluation unit; and a line extracting unit connecting the character areas of the reflective and non-reflective areas and extracting positional information of the connected character areas in the image data.

Abstract: The form data extracting apparatus, even input form does not have a logical structure stored in the generic logical structure DB, by using logical elements in the existing logical structure and a registered form obtained on the basis of (a) the logical structure, (b) pieces of position information of the logical elements, and (c) a relation between the logical elements. A logical element and a logical structure are extracted from the input form, and the extracted logical structure can be defined as a new registered form or a new logical structure.

Abstract: A method for assisting in the creation of a logical structure model, which stores, from an image in which character strings associated respectively with a plurality of logical elements constituting a logical structure are described, the logical elements, character strings associated with the logical elements, and the logical structure, wherein character strings in an input image and the logical structure among the character strings in the input image are extracted, a logical element is selected among the plurality of logical elements according to the degrees of similarity between the extracted character strings and the character string associated respectively with the plurality of logical elements stored in the logical structure model, a character string associated with the selected logical element and a character string in the input image associated with the logical element based on the logical structure among the extracted character strings in the input image are extracted.

Abstract: An image recognition method is conducted by recognizing logical elements based on a logical structure model set to correspond to the logical structure of an image of individual character strings, collecting information processed with the logical structure model of images of a logical structure, acquiring a recognition result when recognizing an image of a logical structure by processing information collected with a post-update logical structure model, and outputting warning information about the post-update logical structure model to an output unit when a result of the comparison is a non-match.

Abstract: A character area extracting device includes a reflective and non-reflective area separation unit separating image data into reflective and non-reflective areas, and binarizing the image data by changing a first threshold value when it is inappropriate; a reflective area binarizing unit separating the reflective area into character and background areas, and binarizing it by changing a second threshold value when it is inappropriate; a non-reflective area binarizing unit separating the non-reflective area into the character and background areas, and binarizing it by changing a third threshold value when it is inappropriate; a reflective and non-reflective area separation evaluation unit; and a line extracting unit connecting the character areas of the reflective and non-reflective areas and extracting positional information of the connected character areas in the image data.

Abstract: A document recognizing apparatus includes a display control unit which displays a document data including a character string related to a character string selected by a user, and an area that includes at least a character string of the document data.

Abstract: A logical structure analyzing apparatus includes an extracting unit that extracts word candidates from a form, a first generating unit that classifies each of the word candidates into a group of heading candidates or a group of data candidates to generate, based on positions of the word candidates on the form, first candidates sets each including one heading candidate and one data candidate identifiable by the heading candidate, and a second generating unit that combines the first candidate sets to generate second candidate sets that each include plural heading candidates that differ and one data candidate. The apparatus also includes a removing unit that, based on positions of the heading candidates and the data word candidate in each second candidate set, removes from among the second candidates sets, a determined set including a data item and headings identifying the data item, and an output unit that outputs the determined set.

Abstract: A personal authentication system using biometrics information, which identifies or authenticates an individual by verifying to-be-verified biometrics characteristic data against previously registered biometrics characteristic data. The system includes a biometrics information inputting section having a function to acquire the to-be-verified biometrics information; a biometrics information converting section converting said to-be-verified biometrics information, acquired through said biometrics information inputting section, into a state to be acquired on a predetermined acquisition condition, said predetermined acquisition condition being a same condition under which the registered biometric information was acquired; and a biometrics characteristic data extracting section extracting to-be-verified biometrics characteristics data from the to-be-verified biometrics information obtained by the conversion in said biometrics information converting section.