Showing papers on "Optical character recognition published in 1980"
Book•
01 Jan 1980TL;DR: Reading is a need and a hobby at once and this condition is the on that will make you feel that you must read.
Abstract: Some people may be laughing when looking at you reading in your spare time. Some may be admired of you. And some may want be like you who have reading hobby. What about your own feel? Have you felt right? Reading is a need and a hobby at once. This condition is the on that will make you feel that you must read. If you know are looking for the book enPDFd computer programs for spelling correction an experiment in program design as the choice of reading, you can find here.
35 citations
TL;DR: This low-cost equipment is especirdly suitable for hand-carried OCR systems where well-formed printed alphanumerics are to be read: continously deformed patterns like carefully handprinted characters are recognized as well.
Abstract: The binary picture processing and recognizing stages of an optical character recognition (OCR) system have been designed using both flexibility of available microprocessors and speed of peripheral custom-designed integrated circuits, A dedicated Iarge-scale integrated (LSI) processor performs edge detection and thinning of a 32 X 24 digitied one-piece pattern. The output signal-a set of 3 bit vectors describing the skeletonized character contour-feeds a microprocessor which controls the character recognition algorithm including pattern segmentation, filtering, feature extraction, and classification decision. This low-cost equipment is especirdly suitable for hand-carried OCR systems where well-formed printed alphanumerics are to be read: However, continously deformed patterns like carefully handprinted characters are recognized as well. A system reading speed of 100 characters/s (or 30 cm/s) can be achieved.
11 citations
Patent•
IBM1
TL;DR: Optical character recognition as discussed by the authors is a character recognition method in which registration of a stored, character image is changed from, for example, center to lower left depending on the individual character template or equivalent description against which the image is being compared.
Abstract: Optical character recognition in which registration of a stored, character image is changed from, for example, center to lower left depending on the individual character template or equivalent description against which the image is being compared. Accuracy is improved because the registration form used is one known to provide the greatest elements distinguishing the character of the template from the closest other character which might be presented.
7 citations
21 Feb 1980
TL;DR: The CR system under development was discussed in "Recognition of Handprinted Characters for Automated Cartography" at this conference last year and the planned approach to improve it will be presented.
Abstract: A research program for developing handwritten character recognition techniques is reported. The generation of cartographic/hydrographic manuscripts is overviewed. The performance of hardware/software systems is discussed, along with future research problem areas and planned approaches.
4 citations
Patent•
24 Nov 1980
TL;DR: In this paper, a method for the computer controlled prepration of documents from primary data, employing a reading device, data processing device, a priting device, and a data carrier in the form of a sheet or a card which is divided into two sections, which comprises the document which is to be prepared and on which in addition, in part machine-readable and in part other primary data are machine recorded.
Abstract: 1. A method for the computer controlled prepration of documents from primary data, employing a reading device, a data processing device, a priting device, and a data carrier in the form of a sheet or a card which is divided into two sections, which comprises the document which is to be prepared and on which in addition to in part machine-readable and in part other primary data, further items of new data which can be derived from the machine-readable primary data are machine-recorded, characterized by the following features : a) a data carrier is used which additionally has in the two sections a zone for the accommodation similar handwritten marks, graphic patterns or images, where the primary data are entered in machine-readable optical characters in the first section which is assigned exclusively to the primary data, and where the second section is provided as the document which is to be prepared, b) the machine-readable primary data are machine-read in the reading device in the form of an optical character recognition device, c) the new data items, which are obtained from the read primary data following their checking, processing and possibly supplementation by means of the data processing device, are printed in optical characters in the printing device on the second section of the data carrier which serves as document, where the reading operation and printing operation are carried out in consecutive steps in the same data carrier run, and reading device an printing device are commonly positioned relative to the data carrier.
4 citations
TL;DR: This low-cost equipment is suitable for hand-carried OCR systems where well-formed printed alphanumerics are to be read and continously deformed patterns like carefully handprinted characters are recognized as well.
Abstract: The binary picture processing and recognizing stages of an optical character recognition (OCR) system have been designed using both flexibility of available microprocessors and speed of peripheral custom-designed integrated circuits. A dedicated large-scale integrated (LSI) processor performs edge detection and thinning of a 32 × 24 digitized one-piece pattern. The output signal–a set of 3 bit vectors describing the skeletonized character contour–feeds a microprocessor which controls the character recognition algorithm including pattern segmentation, filtering, feature extraction, and classification decision. This low-cost equipment is especiaUy suitable for hand-carried OCR systems where well-formed printed alphanumerics are to be read. However, continously deformed patterns like carefully handprinted characters are recognized as well. A system reading speed of 100 characters/s (or 30 cm/s) can be achieved.
4 citations
19 May 1980
TL;DR: The goal of facsimile bandwidth compression is the efficient transmission of documents achieved by the removal of redundancy in the encoding technique, which is based on the detection of recurrent patterns in the document being encoded.
Abstract: The goal of facsimile bandwidth compression is the efficient transmission of documents achieved by the removal of redundancy in the encoding technique. For the case of printed or typewritten documents, the most powerful encoding technique is the Combined Symbol Matching (CSM) algorithm, which is based on the detection of recurrent patterns (such as alphanumeric characters) in the document being encoded 〈4, 5, 6, 10〉. As the transmitter scans the document, it locates and extracts isolated patterns, transmits them to the receiver, and stores them in a library. Using the received patterns, the receiver also accumulates an exact copy of the transmitter's library. As each new pattern is isolated, it is compared with the library patterns which have been previously encountered. If the pattern is unfamiliar, it is added to the library. However if a "match" is detected, this indicates a recurrence of a pattern, and there is no need to retransmit it, since it is available in the receiver's copy of the library. Therefore, the library entry number (library ID) is transmitted instead, enabling the receiver to reconstruct the pattern from the "prototype" in its library. Since the library ID can be transmitted with far fewer bits than the binary pattern that it points to, a significant bandwidth compression may be attained. For printed documents, the CSM algorithm is typically twice as efficient as the best run-length coding algorithms.
3 citations