Abstract: A milling machine includes a frame, a ground engaging rotor assembly, a moldboard, and a hydraulic cylinder including a piston rod and a piston barrel. The ground engaging rotor assembly is at least partially enclosed by the moldboard. The moldboard is vertically movable via the hydraulic cylinder, and the hydraulic cylinder is coupled to the frame via a dual-trunnion assembly.

Abstract: A milling machine includes a frame, a ground engaging rotor assembly, a moldboard, and a hydraulic cylinder including a piston rod and a piston barrel. The ground engaging rotor assembly is at least partially enclosed by the moldboard. The moldboard is vertically movable via the hydraulic cylinder, and the hydraulic cylinder is coupled to the frame via a dual-trunnion assembly.

Abstract: A character recognition system identifies characters including hand written characters with a high degree of accuracy by use of spiral view codes for pels in the scanned character image. The spiral view codes are developed by comparing stroke length or distance to a remote stroke from a first radial view from a character pel to stroke length or distance to a remote stroke from a counterclockwise adjacent view for the same character pel. These spiral view codes are collected into a spiral view pattern for each character pel. The spiral view patterns for a character are accumulated to form a character vector. The character vector is analyzed by a linear decision network or a neural network.

Abstract: A system for locating and identifying the amount of field on a check or other financial document including the steps of identifying the type of characters within each rectangular block as either machine print, hand print, decimal point, or vertical bar, and then using that identification of type to determine which block is to be identified as the amount field.

Abstract: A method and system for recognizing an individual unknown character and a document in which, for black pels, one at a time, a vector is generated indicating what is seen from that pel in each of a plurality of directions in terms of white or black pels. That vector is compared to a table created from a large experience, generating a probability for each character in the character set that the vector from the pel on the unknown character is that character. As this process is repeated for other black pels in the unknown character, the probabilities associated with the various pels for each respective character are multiplied together to create a probability for the unknown character. An optional skeletonization of the character prior to recognition assists in the recognition by making the character only one pel width for a stroke, rather than a variable quantity.

Abstract: A method of improving the accuracy of identifying or reading magnetic ink characters (MICR) of the type used on checks and other documents, by choosing key values of a waveform selected using one of several templates which best fits recognized peaks. The steps of the improved method include periodically sampling the signal generated from a magnetic read head, digitizing each sample, locating peaks (in an absolute-value sense), comparing the pattern of peaks against templates (stored values preferably in the form of a saw-tooth) representative of various periods and offsets between positive and negative peaks to determine which template fits the sensed peaks best, then using that template to select samples for identification of the character. The samples thus selected are preferably in the location of the peaks and zero-crossings predicted by the best template or pattern, but are not necessarily the peaks of zero-crossings themselves.