Abstract: A system for assisting fixed-focus image-capturing device to focus, which includes: an image-capturing device with fixed-focus function; a platform for placing objects; a movable structure connected to the image-capturing device or the platform, for adjusting the distance between the image-capturing device and the platform; a notifying unit, which generates a physical quantity to notify a user; and a control unit in communication with the image-capturing device and the notifying unit, for determining the distance between the image-capturing device and the platform, and when the distance is equal to a best-shot distance, sending a signal to the notifying unit to generate the physical quantity. The invention also discloses a method for assisting fixed-focus image-capturing device to focus.

Abstract: A system for automatically classifying documents includes a database, a positioning-information capturing device, a locating device, and a document comparison device. The database is used for storing a reference document. The positioning-information capturing device is used for capturing the positioning information of a plurality of objects in a digitized document. The locating device is used for capturing the corresponding objects of the reference document according to the positioning information of the objects. The document comparison device then proceeds with an orientation process and determines whether the digitized document and the reference document are of the same classification according to the distances between all of the objects of the digitized document and the nearest objects thereto in the reference document. A method and a computer readable recording medium for automatically classifying documents are also disclosed.

Abstract: A method for automatically cropping image objects, including: an object contour detecting step, an image dividing step, and an image merging step. The object contour detecting step detects object contours with Modified Laplacian Contour Detector to generate a binary image. The image dividing step divides the binary image into a background region and a plurality of non-background regions with Connected Components Algorithm (CCA). The image merging step merges the closer non-background regions from large to small, and determines whether the merging is reasonable for cropping the image object.

Abstract: A system for assisting fixed-focus image-capturing device to focus, which includes: an image-capturing device with fixed-focus function; a platform for placing objects; a movable structure connected to the image-capturing device or the platform, for adjusting the distance between the image-capturing device and the platform; a notifying unit, which generates a physical quantity to notify a user; and a control unit in communication with the image-capturing device and the notifying unit, for determining the distance between the image-capturing device and the platform, and when the distance is equal to a best-shot distance, sending a signal to the notifying unit to generate the physical quantity. The invention also discloses a method for assisting fixed-focus image-capturing device to focus.

Abstract: A system for automatically classifying documents includes a database, a positioning-information capturing device, a locating device, and a document comparison device. The database is used for storing a reference document. The positioning-information capturing device is used for capturing the positioning information of a plurality of objects in a digitized document. The locating device is used for capturing the corresponding objects of the reference document according to the positioning information of the objects. The document comparison device then proceeds with an orientation process and determines whether the digitized document and the reference document are of the same classification according to the distances between all of the objects of the digitized document and the nearest objects thereto in the reference document. A method and a computer readable recording medium for automatically classifying documents are also disclosed.

Abstract: A method for automatically cropping image objects, including: an object contour detecting step, an image dividing step, and an image merging step. The object contour detecting step detects object contours with Modified Laplacian Contour Detector to generate a binary image. The image dividing step divides the binary image into a background region and a plurality of non-background regions with Connected Components Algorithm (CCA). The image merging step merges the closer non-background regions from large to small, and determines whether the merging is reasonable for cropping the image object.

Abstract: An apparatus for supporting and guiding an optical character reader across a document containing information to be read, such as a business card or an identification card, comprises a frame having a top surface, and a pair of rails disposed on the top surface of the frame, the optical character reader being supported for sliding movement along the rails. An inner guide is located at a forward end of the apparatus. The inner guide includes a slot which receives the optical character reader and acts as a stop for it, thereby determining an initial position of the optical character reader. The top surface of the frame includes an inclined depression which is dimensioned for closely receiving the business or identification card. Desirably, the depression includes a clamping slot along a rear edge thereof into which the business or identification card can be inserted.