Results 141 to 150 of about 51,676 (187)

Translating handwritten bushman texts

Proceedings of the 10th annual joint conference on Digital libraries, 2010
The Bleek and Lloyd Collection is a collection of artefacts documenting the life and language of the Bushman people of southern Africa in the 19th century. Included in this collection is a handwritten dictionary that contains English words and their corresponding |xam Bushman language translations.
Kyle Williams, Hussein Suleman
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Handwritten Khmer text recognition

2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), 2016
This paper proposes a model for an offline handwritten Khmer character recognition. We make use of two dimensional Fourier transformation for feature selection and feed-forward Artificial Neural Net as classification tool. The recognition system allows using the nature of Khmer writing, which is an example of alphasyllabary (Abugida) writing systems ...
Bayram Annanurov, Norliza Mohd Noor
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Assessing similarity in handwritten texts

Pattern Recognition Letters, 2020
Abstract Today, people rely almost full time on digital texts. It is not surprising that handwriting earned a special status, and solutions to mimic real handwriting became attractive. A particular field called handwriting synthesis generates renderings of text which resemble natural writing but are synthesized from actual handwriting samples.
Dennis Giovani Balreira, Danilo Marcondes Filho, Marcelo Walter   +2 more
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Offline arabic handwritten text recognition

ACM Computing Surveys, 2013
Research in offline Arabic handwriting recognition has increased considerably in the past few years. This is evident from the numerous research results published recently in major journals and conferences in the area of handwriting recognition. Features and classifications techniques utilized in recent research work have diversified noticeably compared
Mohammad Tanvir Parvez, Sabri A. Mahmoud
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On-line handwritten text categorization

SPIE Proceedings, 2009
As new innovative devices, accepting or producing on-line documents, emerge, managing facilities for these kinds of documents such as topic spotting are required. This means that we should be able to perform text categorization of on-line documents. The textual data available in on-line documents can be extracted through online recognition, a process ...
Peña Saldarriaga, Sebastián, Viard-Gaudin, Christian, Morin, Emmanuel   +2 more
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Handwritten Text Recognition: A Deep Learning Based Approach to Digitize Handwritten Text

International Scientific Journal of Engineering and Management
              Our project employs deep learning methods to digitize handwritten pages into text. The process has a number of steps, ranging from identifying individual words, and identifying individual characters. Through the use of convolutional neural networks (CNNs) and other sophisticated machine learning models, the project seeks to perform ...
Potta Pramodita, P. Nancy Celine, Gugulothu Krishnaveni   +2 more
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Segmentation of Chinese handwritten text

Proceedings of 2012 2nd International Conference on Computer Science and Network Technology, 2012
In process of recognizing Chinese handwritten text, Chinese character segmentation is the key point of the recognition. Therefore, study on how to segment Chinese characters effectively plays an important role in improving the overall performance of Chinese character recognition system.
Cao Xinyan, Zou Yingyong
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Handwritten Text Recognition

2019
Handwritten Text Recognition: Transkribus and Learned ...
Petrolini C, Wallnig T
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Smooth Morphing of Handwritten Text

Proceedings of the working conference on Advanced visual interfaces, 2004
There are several approaches for pen-based systems to improve legibility of handwritten text, e.g. smoothing the strokes composing the characters and words. A very challenging solution is the smooth morphing approach: handwritten strokes are transformed gradually into perfectly legible characters provided by a previously executed handwriting ...
Conrad Pomm, Sven Werlen
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Text line segmentation in Chinese handwritten text images

2011 17th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV), 2011
In this paper, text line segmentation based on 2-D Tensor Voting is proposed, 2-D tensor voting is used to remove outliers and located center points of connected components. The saliency values and direction of normal vectors are represented information of tensors for segmentation. The text images obtained from HIT-MW dataset.
null Chengdong Zhang, null GueeSang Lee
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