Abstract: In a mail sorting system 10, output pixel intensities of an optical scanner 18 have their contrast locally enhanced. A contrast enhancer 24 uses statistical methods (averaging, standard deviation) coupled with empirical stretch and offset data stored in a ROM 25, to enhance pixel contrast in a pipelined processing operation.

Abstract: A system (method and apparatus) for handwritten character recognition recognizes characters within strings of text despite the presence of overlapping or disjointed characters. A string is segmented into discrete characters by removing noise and punctuation, joining the disconnected components of characters and splitting probable overlapping characters. After joining and splitting (as required), character recognition is performed to recognize characters in the string. Recognized characters are removed and the string is split in order that more characters can be recognized. If unrecognized characters remain in the string, the process is repeated. The joining and splitting operations are repeated until all subsequent characters in the string have been either recognized or determined to be unrecognizable.

Abstract: A digital data memory unit and memory unit array, each unit of which can be searched in accordance with the contents thereof and updated, utilizes a digital storage element in the form of a register, latch, or memory cell, a comparator and control logic. Data is presented to the units in parallel on data lines and compare data is supplied in parallel to the units along other data lines. Parallel search of data in each unit, with multiple updates in units where the stored data matches the compare data, occurs rapidly and in one clock cycle (e.g., approximately 50 nanoseconds). The control logic responds to a match output from the comparator and an update enable pulse to enable a new data word on the data lines to be written into the digital storage element of the unit. The memory unit array is useful in image processing for storing pixel values and searching and updating these values in the process of image analysis to recognize certain images.

Abstract: A method and apparatus is provided for written character recognition. The method includes thresholding an input gray level character image to derive its bilevel image, extracting stroke-based features of said bilevel image, classifying the features based upon a set of predetermined rules, determining the identity of the character utilizing the classification, and indicating the identity of the character. A method and apparatus for extracting features of a written character is also provided. This method includes raster scanning the written character to determine stroke-based features, extracting vertical strokes of the character and extracting horizontal strokes of the character.

Abstract: A method (and system) to achieve automatic language recognition that includes the steps of introducing language in the form of strings to a mechanism that converts the language to electrical signals derived from the strings introduced, which electrical signals are the electrical analog of words in the strings; analyzing the electrical signals to achieve automatic recognition of the letters in a word of the text on the basis of an integration of (a) channel characteristics in the form of probabilities that the particular letter is a corruption of another letter, (b) the probabilities of the letter occurring serially with other recognized letters that precede the letter being analyzed, and (c) lexical information in the form of acceptable words represented as a graph structure and presenting as output a reproduction of the text introduced and analyzed.