Abstract:
Image processing method and apparatus are provided. A histogram of image information is obtained. A peak position is detected from the histogram obtained. A small area is decided by using the detected peak position as a reference. A histogram of the decided small area of the image information is obtained. A specific point is determined from the peak position of the histogram of the small area obtained. The size of small area is decided in accordance with a peak width of the histogram of the image information. The image information is inputted by a scanner. A table can be used as image information and the specific point which is decided is an intersection of ruled lines of the table. A cell area of the table is judged from the intersection decided.
Abstract:
In a character recognition method and apparatus, image information is input, the input image information is displayed, a desired area in the input image information is assigned, the number of characters contained in the assigned area is calculated, and the size of a picture frame for displaying a result of character recognition of the image information is determined according to the calculated number of characters.
Abstract:
A pattern recognizing apparatus comprises a feature vector extractor to extract a feature vector of an input pattern; a converting unit to convert the feature vector extracted by the feature vector extractor into the feature vector which is effective for selection between categories; a classification processing unit for calculating an inner product with a predetermined basic vector for the converted vector after the conversion was performed by the converting unit; and a category selecting unit for selecting and outputting a category group to which the input pattern belongs with reference to a predetermined category table on the basis of the result of the calculation by the classification processing unit.
Abstract:
A device driver for use in a computer system includes process steps to detect data corresponding to at least one system resource of the computer system, to determine a default operational mode from a plurality of operational modes of a device based on the data corresponding to at least one system resource, and to provide a user interface for selecting an operational mode from the plurality of operational modes.
Abstract:
A frequency of a residual amount signal which includes the absence of consumables and is issued by a printing apparatus is analyzed, whether new consumables have been attached or not is properly discriminated, and proper stock management is made.
Abstract:
A method and apparatus for using a neural network to categorize patterns from pattern feature data derived from the patterns. The average of all the learning data of the neural network is subtracted from the pattern feature data, and the result is input to the input layer of the neural network. The neural network outputs a value for each category and the pattern is categorized based on these values. The neural network includes an intermediate layer whose bias is set to zero and which includes a sigmoid transfer function which is symmetric with respect to the origin.