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Journal ArticleDOI

Handprinted symbol recognition system

R. M. Brown, +2 more
- 01 Mar 1988 - 
- Vol. 21, Iss: 2, pp 91-118
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TLDR
A handprinted symbol recognition system for identifying through computer techniques free-form, unconstrained handprinting in which accuracy is decoupled from efficiency converts a thin-line (skeletonized) figure output from a preprocessing system into segment-oriented lists.
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This article is published in Pattern Recognition.The article was published on 1988-03-01. It has received 85 citations till now. The article focuses on the topics: Symbol (chemistry) & Optical character recognition.

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Citations
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Journal ArticleDOI

Historical review of OCR research and development

TL;DR: Both template matching and structure analysis approaches to R&D are considered and it is noted that the two approaches are coming closer and tending to merge.
Patent

Handwritten keyboardless-entry computer system

Ralph Sklarew
TL;DR: In this article, a keyboardless entry computer system includes a transparent input screen that generates positional information when contacted by a stylus, and a display screen mounted physically below the input screen such that a character that is displayed can be seen below the screen.
Journal ArticleDOI

Computer recognition of unconstrained handwritten numerals

TL;DR: It is shown that it is possible to reduce the substitution rate to a desired level while maintaining a fairly high recognition rate in the classification of totally unconstrained handwritten ZIP code numerals.
Journal ArticleDOI

One-pass parallel thinning: analysis, properties, and quantitative evaluation

TL;DR: A one-pass parallel thinning algorithm based on a number of criteria, including connectivity, unit-width convergence, medial axis approximation, noise immunity, and efficiency, is proposed and extended to the derived-grid to attain an isotropic medial axis representation.
Journal ArticleDOI

Multiple classifier decision combination strategies for character recognition: A review

TL;DR: This paper explicitly reviews the field of multiple classifier decision combination strategies for character recognition, from some of its early roots to the present day and illustrates explicitly how the principles underlying the application of multi-classifier approaches to character recognition can easily generalise to a wide variety of different task domains.
References
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Patent

Pattern recognition system

TL;DR: In this paper, a pattern recognition system is described in which, when more than two reference patterns having a similarity to the input unknown pattern larger than a predetermined threshold level are detected by a first discriminating circuit, one or more suitable feature comparators are selected from a plurality of feature comparator by the control signals corresponding to the reference patterns or the category of the detected patterns.
Patent

Apparatus and method for recognizing a pattern

Robert Todd
TL;DR: In this paper, a method for recognizing a presented pattern such as a machine printed character is described. But the method is limited to a set of eigenvectors of a 25-dimensional orthogonal coordinate system.
Patent

Preprocessing method and apparatus for pattern recognition

TL;DR: In this article, features are extracted from a two-dimensional image for subsequent classification of patterns within the image according to correspondence between the extracted features and reference features in a set extracted previously from known patterns.
Patent

Method and device for the recognition of characters, preferably of figures

TL;DR: In this article, a method for the recognition of characters was proposed, in which in a learning and in a working phase the properties of the signals are classified within a number of groups and their frequencies of occurence are statistically recorded in the form of logarithmic values, which are added up so as to give the product probability and to allow a decision to be made by comparison with regard to the character read.
Patent

OCR for reading a constraint free hand-written character or the like

TL;DR: In this paper, a character pattern is divided into a predetermined number of parallel segments of equal width extending in one direction and character information on respective ones of the segments is read out via a line of photoelectric cells.
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