TL;DR: In this article, a scaling factor is calculated to match a typeface rendering of a word to the width of the word in the originally scanned image, and a cluster analysis is performed to identify close clusters of scaling factors for a type face, indicative of a good typeface fit at a constant scaling factor.
Abstract: Following scanning of a document image, and optical character recognition (OCR) processing, the outputted OCR text is processed to determine a text format (typeface and font size) to match the OCR text to the originally scanned image. The text format is identified by matching word sizes rather than individual character sizes. In particular, for each word and for each of a plurality of candidate typefaces, a scaling factor is calculated to match a typeface rendering of the word to the width of the word in the originally scanned image. After all of the scaling factors have been calculated, a cluster analysis is performed to identify close clusters of scaling factors for a typeface, indicative of a good typeface fit at a constant scaling factor (font size).
TL;DR: In this article, a program title display object displays the name of a program and shows the program name in a font typeface in response to the category of the program in a program name display area that is sectioned by a program start time and a program end time.
Abstract: PROBLEM TO BE SOLVED: To easily recognize the category of a program by displaying the program name by means of a font typeface according to the program category. SOLUTION: A program title display object displays the name of a program and shows the program name in a font typeface in response to the category of the program in a program name display area that is sectioned by a program start time and a program end time. That is, a CPU 30 executes the display of an EPG screen by an instruction of a viewer, starts a display processing procedure, reads out the program information data D1 and acquires the category of the program to be displayed. Then the CPU 30 decides a font typeface corresponding to the program category out of the font typefaces which are stored in a ROM 28 based on a category/font correspondence table stored in a RAM 29. The ROM 28 stores five font typefaces, i.e., a special thic Gothic type, a Gothic type, a Ming type, a POP type and a round Gothic type, and the program category corresponds to one of these five types.
TL;DR: In this paper, the authors propose a font memory having an index part for storing an address of a pair of first system information indicating a basic code system and second system information for storing print data to the address.
Abstract: PROBLEM TO BE SOLVED: To easily cope with an increase of a code system by providing a font memory having an index part for storing an address of a pair of first system information indicating a basic code system and second system information indicating the other system, and a data part for storing print data to the address. SOLUTION: When a host computer 1 designates, for example, a print request typeface of 'Mincho Uni' to a printing apparatus 2, a control part 23 urges a font-managing part 24 to carry out a predetermined process. The font- managing part 24 instructs a character-generating part 26 according to the font designation information to generate characters, searches for a code area where indices of a Unicode are arranged from 0×0100 to 0×FFFF in the order of the Unicode in a font ROM 27, and reads out character data of the corresponding data from an address of the subject code. On the other hand, when a different typeface, e.g. 'Mincho' is designated, the font-managing part searches for a different code area and reads out character data of the corresponding data from an address of the subject code.
TL;DR: In this paper, a normal outline font is analyzed by an analysis software 4 and a knowledge type font data base 5 including basic knowledge about the writing order of a center line and the constituting elements of a left side and a right side, etc., is constructed.
Abstract: PROBLEM TO BE SOLVED: To easily prepare typeface data with a feature. SOLUTION: In this typeface data preparation method, a normal outline font is analyzed by an analysis software 4 and a knowledge type font data base 5 including basic knowledge about the writing order of a center line and the constituting elements of a left side and a right side, etc., is constructed. Handwritten samples 2 for plural characters set beforehand are read by a scanner 3, the features are extracted by the analysis software 4 and a feature data base 6 is constructed. The center line is automatically recognized from the image of a handwritten character and compared with the shape of the center line to be a reference stored in the knowledge type font data base 5 and the feature is extracted. An operation software 7 reads the knowledge type font data base 5 and the feature data base 6, deforms the shape of the character and generates the character corresponding to the attributes.
TL;DR: All dyslexic subjects tested were able to use the software to identify and store a configuration of background and foreground colour, text typeface and font, and spacing between characters, words and lines which they found easier to read than the default settings.
Abstract: This research describes the development of a highly configurable word processing environment to alleviate some of the difficulties encountered by dyslexics when producing and reading text. It also describes a pragmatic, empirical methodology, closely involving dyslexic users, which has proved highly effective.All dyslexic subjects tested were able to use the software to identify and store a configuration of background and foreground colour, text typeface and font, and spacing between characters, words and lines which they found easier to read than the default settings. Successful tests were also carried out to investigate the use of different appearances (font, colour etc.) to alleviate character recognition and reversal problems.