Open AccessJournal Article
Separating handwritten text from interfering strokes
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TL;DR: An improved gravity gradiometer and system for use thereof for accurately measuring gravity gradients from moving vehicles.
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About: This article is published in IEEE Personal Communications. The article was published on 01 Jan 1992. and is currently open access.
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Citations
Patent
Method and apparatus for immediate response handwriting recognition system that handles multiple character sets
Marianetti Ii Ronald,Robert Yuji Haitani +1 more
- 05 Jan 1999
TL;DR: In this article, a palm top computer system has an alphabetic input area and a numeral input area to recognize strokes that represent characters from a different character set, and strokes entered in the alphabetic input area are interpreted as alphabets and strokes in the numerals as numerals.
211
Recovery of drawing order from single-stroke handwriting images
Y. Kato,M. Yasuhara +1 more
TL;DR: By recovering a drawing order of a handwritten script, the temporal information can be recovered from a static 2D image and this method will be used as a bridge from the offline handwriting character recognition problem to the online one.
118
Automatic processing of handwritten bank cheque images: a survey
TL;DR: An attempt is made to present the state of the art in automatic processing of handwritten cheque images and discusses the important results reported so far in preprocessing, extraction, recognition and verification of handwritten fields on bank cheques and highlights the positive directions of research till date.
75
Frontiers in Handwriting Recognition
Sebastiano Impedovo
- 01 Jan 1994
TL;DR: The evolution of computer front panels and punch tapes and punch cards to teletype interfaces and the keyboards of modern personal computers shows that the problem of a faster man-machine interaction has been a great scientific and technological challenge since the origin of computers.
67
Text and non-text separation in offline document images: a survey
TL;DR: The technical challenges of performing text/non-text separation are summarized, and offline document images are categorized into different classes according to the nature of the challenges one faces, in an attempt to provide insight into various techniques presented in the literature.
66
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