Abstract: A pattern recognition system which includes an input device for inputting a pattern and a character code, an extractor for extracting feature data from the input pattern, a detector for detecting size data of the input pattern, and a register for registering both the features data and the size data in correspondence with the input character code to a dictionary for character recognition.

Abstract: The present invention is to discriminate and extract a gesture stroke from a group of input strokes when inputting, in a batch processing, both a character or symbol of strokes to be processed and a gesture of strokes selecting a process to be executed for the character or symbol, and execute a process selected by the gesture stroke for all the strokes but the extracted gesture stroke, so that the character or symbol and the gesture do not need inputting individually at time intervals, thus improving the operability.

Abstract: An information processing method including memorizing pattern information, memorizing use information of said pattern information memorized, and displaying said pattern information memorized and said use information of said pattern information.

Abstract: An operator uses a data input unit 1 to enter handwriting stroke data on a per-page basis. The entered strokes are stored by a memory unit 3. The operator sets key strokes, from among the stored stroke data, by means of a key-stroke setting unit 2. If key strokes are to be retrieved, a desired search stroke is entered from a search-stroke input unit 4. Retrieval means 5 compares the search stroke with each of the key strokes. If a key stroke that matches the search stroke is found, the page containing this key stroke is displayed as search results.

Abstract: According to the invention, it is possible to a void the inconvenience of repetitively inputing the same character; a desired character can be repetitively outputted by a simple operation. Particularly, in a case of inputting a character group by means of a handwriting character recognition unit, each time characters such as “0 (zero)” and “O (oh)” or the like having similar shapes are repetitively inputted, an operation to select a desired character from “0 (zero)” and “O (oh)” is always needed, so that operability is very poor. When a complicated figure or image is inputted, an operation to repetitively input such figure or image is troublesome.

Abstract: A character recognition apparatus is provided with a recognition dictionary that stores the strokes of standard characters in an order that is in accordance with a predetermined rule for deciding the order of each stroke by the positional relationship of each stroke. A plurality of strokes are stored on a storage medium in an order in accordance with the predetermined rule. The plurality of strokes stored on the storage medium and each stroke of the standard characters stored in the recognition dictionary are compared. The character constructed by the plurality of strokes is recognized based upon the results of comparison.

Abstract: A pattern recognizing apparatus which recognizes patterns on the basis of a recognition dictionary includes a frequency information updating device for updating a plurality of items of frequency information, respectively assigned to a plurality of reference patterns, in accordance with a reference to at least one of the plurality of reference patterns during recognition and a recognition dictionary reconfiguration device for reconfiguring the recognition dictionary based on a difference between the updated frequency information.

Abstract: An information processing method and apparatus which uses a memory storing stroke data forming one character together with respective stroke order information to display each stroke data based on the stored stroke order information at an arbitrary speed. In addition, a display speed changing instruction is input into the apparatus and the display speed of the stroke data is changed in response to the display speed changing instruction. In addition, stroke data stored in correspondence to the stroke order information of an input stroke order number is read from the memory and displayed. Further, the stroke data can be displayed under different display conditions such that the stroke order information stored in correspondence to the stroke data can be distinguished from each other.

Abstract: In a character input method and apparatus, data can be input by a simple operation using a displayed keyboard. The keyboard is displayed on the picture surface of a display unit, and data is input by designating a key position on the keyboard. The designated key position is detected based on a designated coordinate position on the keyboard. The corresponding operation is identified based on coordinate positions subsequently input on the keyboard, and a specific key code is generated based on the detected key position and the identified operation.

Abstract: A threshold value for identifying similar characters is set at will from a keyboard. It is determined whether a character entered on a character input panel by a pen is a similar character and, if the entered character is judged to be a similar character, a feature quantity of this character is calculated. The calculated feature quality and the set threshold value are compared. On the basis of the comparison, the character determined to be a similar character is identified as being in any of a plurality of character groups of similar characters.

Abstract: A character registered in a user's dictionary by a user is outputted prior to other character in a character recognition process. To realize this operation, the character recognition apparatus comprises a user's dictionary (105) and a basic dictionary (103), and a user's unique handwritten character is registered in the user's dictionary (105). In addition, a priority order associated with the handwritten character is simultaneously designated to a priority designation section (109) and stored in a priority storing section (108). When character recognition operation is performed, the basic dictionary (103) and the user's dictionary (105) are utilized; and the recognition result from the basic dictionary and the recognition result from the user's dictionary are adjusted at a result adjusting section (107), by utilizing the priority obtained from the priority storing section (108).

Abstract: This relates to a classification generation method whereby, in order to efficiently and accurately recognize a pattern having a large number of characteristics, a pattern classification tree is generated, with which a macro structural characteristic of a pattern is appropriately reflected and a competitive relationship between categories is adequately reflected, and to a method for recognizing an input pattern by using the generated classification tree. When an input pattern is formed using strokes, a training stroke is divided into a plurality of segments, and vector quantization is performed for the strokes in the segments. Among the quantized strokes in the segments, adjacent stroke sets are synthesized to repetitively generate upper rank stroke vectors. A stroke vector for which a predetermined entropy function is maximized is selected from the upper rank stroke vectors in a layered stroke vector series, and development is performed extending down into the lower rank stroke vector sets.

Abstract: A data processing apparatus includes a memory for storing image data and data corresponding to a display area of the image data, a display for displaying the image data stored in the memory, an input device for designating a position of the image data displayed by the display, a discriminator for discriminating a display area to which the position designated by the input device belongs, and a controller for reading out data corresponding to the display area discriminated by the discriminator and displaying the readout data on the display.

Abstract: An image processing system includes entering a predetermined sample character, comparing characteristic data for the sample character with characteristic data for a predetermined reference character, extracting characteristic data inherent to the entered sample character and relative to the reference character, storing the extracted characteristic data, and correcting a character which is newly entered for recognition and different from the predetermined sample character in accordance with the stored characteristic data.

Abstract: A method and apparatus for analyzing handwritten characters include inputting a handwritten character, recognizing the handwritten character, and extracting feature data of the handwritten character. The extracted feature data is compared with and identified to prestored feature data in memory. The prestored feature data is stored with respective handwritten character analysis data. In the case that the extracted feature data has been identified, respective handwritten character analysis data is output. On the other hand, in the case that the extracted feature data has not been identified, a message is output.

Abstract: The invention has means for judging the characteristics of a character from a feature amount of one inputted character, thereby allowing a suitable character recognizer to be adapted to the input character in accordance with the feature amount of the input character. According to the invention, since the means for judging the characteristics of a character in accordance with the feature amount of the inputted character, a size of input character is not limited. Each suitable recognizer is naturally selected in accordance with the feature amount of the inputted character. The input character can be more accurately recognized.

Abstract: According to the invention, when an image is drawn, a check is made to see if the image is overwritten onto an image which has already been inputted and displayed, thereby switching. For this purpose, a color of the image to be drawn and a color of the image which has already been inputted are compared and the image of the color of a higher priority is displayed. According to the invention, there is no need to reset a display priority of the image by a manual operation of the operator in consideration of the priority of the image. When the image is inputted, the priority of the image can be simultaneously decided. As targets to which the invention is applied, there are an image inputted by a hand-writing, an image inputted by a scanner, a character pattern which is generated from a character generator, and the like.

Abstract: An image recognition apparatus recognizes an input locus as a command, a figure and a character, respectively in gesture recognition mode, figure recognition mode and character recognition mode. Regarding each recognized result, similarity between the input image and the recognized shape is obtained. The similarities are compared with each other, and if the difference between the similarities is less than a predetermined value, the recognized results are displayed for selection by an operator. Then, selected one of the displayed shapes is determined as the final recognition result. This enables correct locus input even if there is a possibility that the locus is recognized, in different recognition modes, as similar shapes of different functions.

Abstract: In the present invention, an input handwritten character pattern is subjected to character recognition processing, and a recognition reliability of the character as a standard characteristic feature pattern is determined from the recognition result. If the recognition reliability is low, a warning is issued. In response to the warning, a user or operator can decide whether the character pattern should be registered in the user dictionary (106). If it is decided that the character pattern should be registered in the user dictionary, the character pattern is stored in the user dictionary with the information representing that the character pattern has low recognition reliability. When character patterns registered in the user dictionary are displayed on a screen, these characters are displayed in such a manner that it is possible to distinguish characters having low recognition reliability from characters having high recognition reliability.

Abstract: A character recognition apparatus and method for recognizing an unknown character by comparing strokes of the input character with stroke information stored in a dictionary. Each stroke of the input character is classified into one of plural categories according to stroke direction. The classified input strokes are rearranged into groups of strokes having the same classification. The degree of analogy between rearranged input strokes and stroke information stored in the dictionary for each group of similarly classified stroke group is calculated based on stroke length, and a maximum analogous element for each input stroke according to the calculated degree of analogy is detected. The detected maximum analogous elements are summed together, and the character whose sum is maximum is output as the identity of the unknown input character.