Showing papers on "Optical character recognition published in 1984"
TL;DR: A sequential optical character recognition algorithm, ideally suited for implementation by means of microprocessors with limited storage capabilities, is formulated in terms of a binary decision tree.
Abstract: A sequential optical character recognition algorithm, ideally suited for implementation by means of microprocessors with limited storage capabilities, is formulated in terms of a binary decision tree. Upper bounds On the recognition performance are derived in terms of the stability of the digitized picture elements. The design process is described in detail. The algorithm is tested on single-font typewritten characters and the experimental and theoretical results are compared.
78 citations
NEC1
TL;DR: Two new methods for character segmentation under more general conditions based on least square error function and a dynamic programing method with the minimum variance for separation between candidate positions in a line image are described.
Abstract: In the Optical Character Reader (OCR) system design, the character segmentation technique is important. For example, the Automatic Mail Address Reader is required to manage printed characters of many font types and poor print quality. In this case, OCR performance will be affected by character segmentation technique. This paper describes two new methods for character segmentation under more general conditions. The character segmentation problem can be formulated and classified as a pitch estimation problem and a character sectioning decision problem. These problems are resolved by using a statistical analysis method based on least square error function and a dynamic programing method with the minimum variance for separation between candidate positions in a line image. The effectiveness of the proposed methods has been evaluated through actual mail address segmentation experiments.
9 citations
01 Jan 1984
TL;DR: A study of Optical Character Recognition techniques employed in automatic mail sorting equipment is presented to provide a background in the state-of-the-art of this equipment as the first element in a search to significantly improve the capabilities of postal address recognition.
Abstract: A study of Optical Character Recognition (OCR) techniques employed in automatic mail sorting equipment is presented. Methods and algorithms for image preprocessing, character recognition, and contextual postprocessing are discussed and compared. The objective of the study is to provide a background in the state-of-the-art of this equipment as the first element in a search for techniques to significantly improve the capabilities of postal address recognition.
5 citations
04 Dec 1984
TL;DR: Correlation techniques are used to identify characters on integrated circuit components for the purpose of verifying that the correct component has been located on the printed circuit board prior to wave soldering.
Abstract: Correlation techniques are used to identify characters on integrated circuit components for the purpose of verifying that the correct component has been located on the printed circuit board prior to wave soldering. The circuit components are inspected using a computer controlled vision system and the appropriate character string located. The individual characters are isolated within the string and identified. The resultant is an aggregate number that identifies the component and is compared against a location database to verify that the component is indeed correctly located. Initially, font samples of all expected characters are required and used for identification. Further studies suggest the use of character primitives to eliminate the need for a large font database. Heuristic and optimal primitives are considered and tested against a specific component class.