Abstract: An instruction input unit for supplying operating instructions to a machine is provided. The unit includes a touchpad, an instruction library and a recognizer. The touchpad receives an input pattern from a user and the instruction library stores a multiplicity of operating instruction patterns. Each operating instruction pattern has an operating instruction associated therewith. The recognizer detects which of the multiplicity of operating instructions patterns the input pattern most closely matches and provides the operating instruction associated with the matched operating instruction pattern to the machine. The recognizer includes a handwriting recognizer for recognizing alphanumeric characters.

Abstract: An instruction input unit for supplying operating instructions to a machine is provided. The unit includes a touchpad, an instruction library and a recognizer. The touchpad receives an input pattern from a user and the instruction library stores a multiplicity of operating instruction patterns. Each operating instruction pattern has an operating instruction associated therewith. The recognizer detects which of the multiplicity of operating instructions patterns the input pattern most closely matches and provides the operating instruction associated with the matched operating instruction pattern to the machine. The recognizer includes a handwriting recognizer for recognizing alphanumeric characters.

Abstract: A handwritten pattern recognition system for recognizing an input pattern is provided. The system has a plurality of parameter determining units, each determining the value of a desired parameter for an input pattern to be recognized. The system also includes a pattern match determiner which produces match values for each parameter of the input pattern with its corresponding parameter of each reference parameter. The match determiner also produces an overall match value for each reference pattern. A pattern classifier selects the reference pattern whose parameter set is "closest", by some matching criterion, to that of the input pattern.

Abstract: A vocoder based voice recognizer recognizes a spoken word using linear prediction coding (LPC) based, vocoder data without completely reconstructing the voice data. The recognizer generates at least one energy estimate per frame of the vocoder data and searches for word boundaries in the vocoder data using the associated energy estimates. If a word is found, the LPC word parameters are extracted from the vocoder data associated with the word and recognition features are calculated from the extracted LPC word parameters. Finally, the recognition features are matched with previously stored recognition features of other words, thereby to recognize the spoken word.

Abstract: A method for pattern recognition of indicia composed of alphabetical characters of a language in the form of at least a part of a word. The shape of each character in a word is established by means of a pattern shape recognizer. A probability value designating the relative confidence in the recognition of the character as one of the language characters is assigned to each character. The established shapes of the characters are then sequentially applied to a linguistic recognizer for further processing and the probability values of language structure to each of the language characters is assigned. Then the probability values assigned to the characters in the shape recognizer is combined with the corresponding probability values assigned to the characters in the linguistic recognizer and the path between characters possessing the highest probability values is determined.

Abstract: The system of the present invention has a reference character database, which stores a multiplicity of reference characters, and a feature extractor which extracts shape information for each input character. For each reference character, the database lists shape information and reference line measurements indicating how reference lines pass through it. For example, the reference line measurements can be percentages of a height of a bounding box which bounds each reference and/or input character.In some embodiments, the input characters are collected into a stroke buffer and in other embodiments, they are collected into a line buffer. In all embodiments, the reference line estimation is performed for a series of input characters, whether as a full line of characters or as a collection of strokes.

Abstract: A method of recognizing a character is described which includes the following operations: (a) measuring the angle of the tangent to the character at each of a plurality of sample points on the character, (b) assigning those points having a tangent direction within a first, small predefined angle from the vertical axis with values of Up or Down compass directions, and those points having a tangent direction within the first, small predefined angle from the horizontal axis with values of Left of Right compass directions and (c) selecting special points.