Showing papers on "Optical character recognition published in 1979"
01 May 1979
TL;DR: The automatic synthesis of Boolean switching functions by adaptive tree networks is discussed and applications to pattern recognition and optical character recognition problems are described.
Abstract: The automatic synthesis of Boolean switching functions by adaptive tree networks is discussed. The concept of heuristic responsibility, by means of which parts of a tree become specialized to certain subsets of input vectors, is explained. Applications to pattern recognition and optical character recognition (OCR) problems are described.
58 citations
TL;DR: This work devised K reference patterns, which are found by digital image processing, but used in an optical analog computer, and explain the concept of principal components.
Abstract: The essence of character recognition is a comparison between the unknown character and a set of reference patterns. Usually, these reference patterns are all possible characters themselves, the whole alphabet in the case of letter characters. Obviously, N analog measurements are highly redundant, since only K = log2N binary decisions are enough to identify one out of N characters. Therefore, we devised K reference patterns accordingly. These patterns, called principal components, are found by digital image processing, but used in an optical analog computer. We will explain the concept of principal components, and we will describe experiments with several optical character recognition systems, based on this concept.
57 citations
Patent•
IBM1
TL;DR: In this article, an Optical Character Recognition (OCR) system for printed characters uses information about baseline location to assist in registration, segmentation, recognition and the separation of underscoring.
Abstract: An Optical Character Recognition (OCR) system for printed characters uses information about baseline location to assist in registration, segmentation, recognition and the separation of underscoring. Selected ones of the sensor elements in the OCR scanning array are identified as defining a baseline searching window and the outputs of these selected elements are utilized to detect baseline information for each character or group of characters in a printed line.
41 citations
TL;DR: In this article, the authors assess the Kurzweil reading machine's ability to read three different type styles produced by five different means and conclude that the reading machine can read them well.
Abstract: This study was designed to assess the Kurzweil Reading Machine's ability to read three different type styles produced by five different means. The results indicate that the Kurzweil Reading Machine...
11 citations
09 Jan 1979
TL;DR: A practical recognition algorithm embodying those features that distinguish one character from another, while tolerating variation in the formation of a single character, is described, along with the preprocessing steps found necessary.
Abstract: The specific problem addressed by this paper is the reading by computer of handprinted ocean depth soundings from "smooth sheets," records obtained from survey missions. The objective is to reduce the soundings and coordinates from the smooth sheets to digital tape for editing and preparation of standard oceanographic charts. In the system described the smooth sheet soundings are "read" by a video camera and recognized by software. Commercially available OCR systems are not suited to this task because the text is unconstrained in both font and format. In order to allow for differences in handwriting styles, the recognition software must work with those features that distinguish one character from another, while tolerating variation in the formation of a single character. For production purposes, a high through-put rate is needed. A practical recognition algorithm embodying these concepts will be described, along with the preprocessing steps found necessary. The performance of the system will be discussed, with examples.
8 citations
Journal Article•
TL;DR: The Optical Character Recognition System of Futan 789 model has been developed for a special demand as discussed by the authors, the aim of the system is to recognize the alphabet and some special marks which have been machine-printed on certain document papers.
1 citations
29 Nov 1979
TL;DR: The relationship of electro-optical scanner systems for quality control in printing instruments of value and the subjective techniques currently employed by printers to evaluate such documents are described.
Abstract: The use of electro-optics in sophisticated quality control systems has long been a standard in the machine tool and allied production industries. In the printing industry, however, apart fro, recent technological advances in optical character recognition, page scanners, and print character generators, little has been done in the field of printing quality control. This paper describes the relationship of electro-optical scanner systems for quality control in printing instruments of value (e.g. bank notes, Travelers Cheques etc.) and the subjective techniques currently employed by printers to evaluate such documents. Involved in this study is the application of image analysis, including spatial frequencies, authenticity verification, and processing techniques for the design of high speed quality control document processing systems.© (1979) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.