Abstract: An organism collation apparatus capable of randomly selecting type of organism information to be collated is disclosed. A plurality of types of organism information owned by one human being like fingerprint patterns of the ten fingers are registered in advance for the different types like the “thumb of the right hand”. One type is selected from among the plurality of types of registered organism information, and inputting of organism information of the selected type is indicated to a person to be collated. In this condition, inputted organism information is accepted, and the inputted organism information and the registered organism information of the selected type are collated with each other.

Abstract: An organism collation apparatus capable of randomly selecting type of organism information to be collated is disclosed. A plurality of types of organism information owned by one human being like fingerprint patterns of the ten fingers are registered in advance for the different types like the “thumb of the right hand”. One type is selected from among the plurality of types of registered organism information, and inputting of organism information of the selected type is indicated to a person to be collated. In this condition, inputted organism information is accepted, and the inputted organism information and the registered organism information of the selected type are collated with each other.

Abstract: To provide an on-line character recognition system which can recognize hand-written character patterns correctly by normalizing inclination of input character patterns without additional burden to the user, an on-line character recognition system comprises; a pen-based input device which outputs inclination angle information of its stylus pen together with pattern data, a slant angle detector for obtaining a slant angle of the stylus pen representing an angle of vertical projection of the stylus pen, a slant angle register for storing a standard slant angle, a slant compensation section for outputting compensated data set by compensating the pattern data making use of the slant angle and the standard slant angle, and a character recognition section for recognizing a character from the compensated data set.

Abstract: An on-line character recognition method is disclosed that recognizes inputted characters on-line by finding distance between strokes for patterns in stroke units of inputted characters and patterns in stroke units for each reference stroke. Reference patterns and inputted character patterns are each divided and represented as stroke shape patterns that indicate the shapes of strokes and stroke position patterns that indicate the position or size of strokes. Inter-stroke shape distances corresponding to each stroke shape pattern and inter-stroke position distances corresponding to each stroke position pattern are found, following which the inter-stroke distance is found based on the inter-stroke shape distances and the inter-stroke position distances.

Abstract: An online character recognition system comprises a standard stroke storing unit for storing a standard stroke and its correlated standard stroke number, a standard stroke number of strokes storing unit for storing number of strokes information indicating in how many stroke character each standard stroke appears, a character dictionary storing unit for storing a category to be recognized and its correlated standard stroke number-string, a standard stroke control unit for referring to the standard stroke number of strokes storing unit to selectively read, from the standard stroke storing unit, a standard stroke having the same number of strokes information as the number of strokes of an input character, an inter-stroke distance calculating unit for calculating an inter-stroke distance between a standard stroke read by said standard stroke control unit and an input stroke, and a matching unit for recognizing an input character based on an inter-stroke distance calculated by the inter-stroke distance calculating

Abstract: A method and apparatus for changing a segment of one or more strokes which are to constitute any of characters and signs by recognizing a relationship in the position between the frame encompassing the strokes previously hand-written and a stroke newly hand-written; judging whether there is any requirement for changing the segment by referring the above recognized relationship in the position to predetermined relationships; recognizing, if there is no requirement, the above newly hand-written stroke as a stroke which constitutes, alone or in combination with strokes to be hand written later, a character other than the character encompassed by the frame; ascertaining, if there is a requirement, the above newly hand-written stroke as any of one or more changing-instruction strokes which identify predetermined types of strokes for changing the segment; and changing the above segment according to the changing-instruction stroke.