Showing papers on "Optical character recognition published in 1974"

Hand operated optical character recognition wand

Abstract: An optical data reader and processor utilizing a two dimensional array of photosensitive elements operated at a high frame rate; a shift register of one character width, and greater than one character height to store the binary representation of the character image; unique black/white threshold detection and character recognition logical circuitry; and timing means to overcome inaccuracies arising from the loosely constrained movement of a hand-held scanning device.

A Classifier Design Technique for Discrete Variable Pattern Recognition Problems

Abstract: This paper presents a new computerized technique to aid the designers of pattern classifiers when the measurement variables are discrete and the values form a simple nominal scale (no inherent metric). A theory of "prime events" which applies to patterns with measurements of this type is presented. A procedure for applying the theory of "prime events" and an analysis of the "prime event estimates" is given. To manifest additional characteristics of this technique, an example optical character recognition (OCR) application is discussed.

Character recognition unit

Abstract: A method and system for automatic optical character recognition wherein a continuous flow of image data is processed at a scan rate high compared to the relative movement of the information-containing field across a sensor array. A two-dimensional array of photosensors is self-scanned to provide a continuous flow of binary character segment and void zone representations which are decoded by reference to a ROM to produce multi-bit feature codes characterizing unique relationships between line segments. For each row or column scanned, a representative feature code is produced with a sequence of such codes representing a complete scan of the sensor array. Successive sequences of feature codes are applied to a decision network having a multiplicity of nodes where each node is accessible to every other node by one state change to produce a representative output character code. The multiple character codes which may be produced during the movement of a single character across the sensor array is then processed by a decision circuit which generates a final character recognition signal.

Character pattern normalization method and apparatus for optical character recognition system

Abstract: The character pattern from the scanner is stored in its original form in an auxiliary memory and in compressed form in a main memory. The slant and the horizontal and vertical second-order moments of the character pattern are sensed in the main memory, and normalized as the character pattern is shifted from the auxiliary memory to the main memory.

Advanced technology: Optical character recognition: Machines that read printed matter rely on innovative designs. Systems and their performance are compared

Abstract: The author discusses systems and their performance. The basic OCR system operation is described. Scanning methods are discussed at length. Quantisation, feature extraction, recognition logic and context correction are discussed.

The GRAFIX I image processing system

Abstract: The GRAFIX I system was developed in the late 1960's as a fast flexible system for processing and analyzing filmed images, particularly of material which is essentially binary (black and white), such as printed text, line drawings, certain biomedical images, fingerprints, etc. It incorporates a large scale general purpose time shared computer to provide the facilities for the efficient development of algorithms necessary to perform various image processing and analysis tasks. In addition it contains a fast, high resolution flying-spot film scanner and a powerful and rather general slave processor (the binary image processor, or BIP) which provide data collection and manipulation facilities adequate to perform image processing and analysis tasks at commercially practical speeds. So far it has been successfully employed in a commercial environment to the reading of printed multifont text in complex page formats, and to the reading of Cyrillic, Greek and even handprinted text. At present we are considering future applications beyond the area of optical character recognition, particularly the analysis of engineering drawings, as well as the automatic analysis and classification of fingerprints, the analysis of biomedical images such as chromosomes, the analysis of x-ray images, and the analysis of satellite imagery data, among others.

A large-scale optical character recognition system simulation

Abstract: A simulation is described which provides a vehicle for the synthesis and subsequent performance analysis of optical character recognition (OCR) algorithms aimed at solving some of the most difficult problems encountered in OCR.The simulation treats the problems of linking complex interactive algorithms together and processing large real-world data files under economic constraints.The simulation is written in Fortran V and is installed on University Computing Company's Dallas 1108 facility. It is comprised of a main program, four major subroutines, 29 supporting routines, and the system library routines. It presently requires 104,500 words of memory (418,000 bytes). Results of the computer simulation on real-world handprint character data are presented.