Abstract: A hierarchical-segmenting pre-processor hierarchically segments the axis of each coordinate of a characteristic value used for classifying a pattern to decide a threshold value for each dimension, and generates hierarchized learning patterns which indicate a segment of the segmented coordinate axis to which each coordinate of the characteristic value of the learning pattern belongs. A developing variable determining unit selects a dimension (variable) having the highest classification efficiency in each node of a classification tree. A classification tree generator generates a classification tree based on the dimension (variable) obtained by the developing variable determining unit and a threshold value set in the dimension.

Abstract: In automatically designing a base sequence to be used as a probe which is hybridized with an unknown nucleic acid fragment to perform gene analysis, a discrimination tree in which a plurality of partial base sequences obtained from target base sequence data are arranged on nodes is generated. The suitability as a probe of a partial base sequence represented by a desired node is evaluated. A plurality of partial base sequences are grouped on the basis of specificity, and an appropriate group combination is selected. A partial base sequence to be used as a probe is determined, from partial base sequences belonging to the selected groups, on the basis of the evaluation result. In this manner, a probe appropriate for analysis can be automatically selected in accordance with a target base sequence to be analyzed. This effectively supports probe designing.

Abstract: A probe carrier of a DNA array or the like is formed by arranging regions fixing different probes in the axial direction of a substrate having an oblong profile which is string-shaped, tape-shaped, string-shaped, tube-shaped or rod-shaped. With this arrangement, the efficiency of manufacturing a probe carrier and handling it in different steps of specimen analysis is improved.

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: An information processing apparatus detects the sampling rate of a coordinate input device, and standardizes the writing data which is input from the coordinate input device based on the detected sampling rate. The standardized writing data is further used for signature verification or for handwritten character recognition. The information processing apparatus provides precise signature verification or handwritten character recognition even if signatures or handwritten characters for handwritten character recognition are input using digitizers having different processing rates.

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: A hierarchical-segmenting pre-processor hierarchically segments the axis of each coordinate of a characteristic value used for classifying a pattern to decide a threshold value for each dimension, and generates hierarchized learning patterns which indicate a segment of the segmented coordinate axis to which each coordinate of the characteristic value of the learning pattern belongs. A developing variable determining unit selects a dimension (variable) having the highest classification efficiency in each node of a classification tree. A classification tree generator generates a classification tree based on the dimension (variable) obtained by the developing variable determining unit and a threshold value set in the dimension.

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: The present invention relates to an information processing method for recognizing a pattern of an image, character, speech or the like. According to the method, a feature space in which a point set given as learning patterns is present is divided to form a classification tree on the basis of the learning patterns. The method comprises the linear combination feature amount generation step of generating a new feature amount by a linear combination of the feature amounts of the learning patterns; the hierarchization pre-preprocessing step of hierarchizing, in advance, the new feature amount generated in the linear combination feature amount generation step; and the classification tree generation step of generating a classification tree on the basis of the learning patterns hierarchized in the hierarchization pre-processing step.

Abstract: A signature processing method determines, when displaying an input signature on a display unit, whether a predetermined condition is satisfied. When it is determined that the predetermined condition is satisfied, the signature on the display unit is displayed in a manner that it is difficult for others to discern the signature.

Abstract: An entered signature is compared with registered signature data to calculate an evaluation value, and when the evaluation value for the entered signature is within the allowable range for successful authentication, it is determined whether aging has occurred. When aging is determined to have occurred, a warning message is displayed to urge re-registration of the signature. According to such a configuration, it is possible, when a change in signature is caused by aging, to avoid circumstances in which authentication becomes suddenly impossible.

Abstract: A classification tree which allows direct recoginition of an input pattern such as image or sound without extra processing such as pre-processing of unprocessed pattern data having high order characteristic variables is prepared. Information processing method and apparatus conduct hierarchical pre-processing for hierarchically pre-processing a learning pattern, prepares a classification tree based on the learning pattern processed by the hierarchical pre-processing and conducts the recognition by using the classification tree.

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: 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: 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.