Preprocessing techniques for cursive script word recognition
M.K. Brown,S. Ganapathy +1 more
TL;DR: Results obtained from this study are promising and suggest that closed-loop verification is a potentially more useful technique than previous open-loop processing approaches.
read more
About: This article is published in Pattern Recognition. The article was published on 01 Jan 1983. and is currently open access. The article focuses on the topics: Intelligent character recognition & Cursive.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Online and off-line handwriting recognition: a comprehensive survey
TL;DR: The nature of handwritten language, how it is transduced into electronic data, and the basic concepts behind written language recognition algorithms are described.
The state of the art in online handwriting recognition
TL;DR: The state of the art of online handwriting recognition during a period of renewed activity in the field is described, based on an extensive review of the literature, including journal articles, conference proceedings, and patents.
986
An overview of character recognition focused on off-line handwriting
Nafiz Arica,Fatos T. Yarman-Vural +1 more
- 01 May 2001
TL;DR: The historical evolution of CR systems is presented, the available CR techniques, with their superiorities and weaknesses, are reviewed and directions for future research are suggested.
583
Patent
Multiple pen stroke character set and handwriting recognition system with immediate response
Jeffrey C. Hawkins,Joseph K. Sipher,Ii Marianetti +2 more
- 13 Aug 2002
TL;DR: In this paper, a pen-based computer text input system capable of interpreting a special pre-defined set of single stroke glyphs is presented, where each input stroke is identified with one of three categories: (1) pre-character modifier stroke, (2) character or symbol stroke, or (3) post-character stroke.
235
Writer independent on-line handwriting recognition using an HMM approach
TL;DR: A combination of signal normalization preprocessing and the use of invariant features makes the HMM based writer independent handwriting recognition system robust with respect to variability among di!erent writers as well as di?erent writing environments and ink collection mechanisms.
153
References
Information processing
S.M. Harris
- 01 Jul 1977
TL;DR: A laboratory study is used to examine the effectiveness of various front-sided health claims when used in combination with a full health claim on the back panel to determine how labeling information needs to be presented to effectively allow consumers to understand and use claim information.
514
Picture processing: 1972
TL;DR: Topics covered include picture compression; image enhancement; matched filtering, edge and curve detection; picture processing implementations; pictorial pattern recognition; picture properties; picture parts and picture description; and picture automata and grammars.
92
Experiments in the Contextual Recognition of Cursive Script
R.W. Ehrich,K.J. Koehler +1 more
TL;DR: A structure for a contextual cursive script recognition system that makes use of letter context to determine word length, letter segmentation, and character identity to achieve contextual recognition at the word level is presented.
72
Reading handwritten words using hierarchical relaxation
TL;DR: Handwritten words are read by applying hierarchical relaxation labeling procedures to a hierarchical description of the word it reads, which is contextually disambiguated and thus simplified by the application of relaxation procedures.
41