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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

Combined top-down and bottom-up algorithms for using context in text recognition

Bouchard, Diana C. January 1979 (has links)
No description available.

A hybrid learning system with a hierarchical architecture for pattern classification /

Atukorale, Don Ajantha Sanjeewa. January 2002 (has links) (PDF)
Thesis (Ph. D.)--University of Queensland, 2002. / Includes bibliographical references.

Synchronization opponent networks : dynamics, computation, and coding for similarity and object recognition /

DeMaris, David Lee. January 2001 (has links)
Thesis (Ph. D.)--University of Texas at Austin, 2001. / Vita. Includes bibliographical references (leaves 309-327). Available also in a digital version from Dissertation Abstracts.

Efficient co-location pattern discovery /

Xiao, Xiangye. January 2009 (has links)
Includes bibliographical references (p. 114-126).

Artificial training samples for the improvement of pattern recognitionsystems

Ni, Zhibo., 倪志博. January 2012 (has links)
Pattern recognition is the assignment of some sort of label to a given input value or instance, according to some specific learning algorithm. The recognition performance is directly linked with the quality and size of the training data. However, in many real pattern recognition implementations, it is difficult or not so convenient to collect as many samples as possible for training up the classifier, such as face recognition or Chinese character recognition. In view of the shortage of training samples, the main object of our research is to investigate the generation and use of artificial samples for improving the recognition performance. Besides enhancing the learning, artificial samples are also used in a novel way such that a conventional Chinese character recognizer can read half or combined Chinese character segments. It greatly simplifies the segmentation procedure as well as reduces the error introduced by segmentation. Two novel generation models have been developed to evaluate the effectiveness of supplementing artificial samples in the training. One model generates artificial faces with various facial expressions or lighting conditions by morphing and warping two given sample faces. We tested our face generation model in three popular 2D face databases, which contain both gray scale and color images. Experiments show the generated faces look quite natural and they improve the recognition rates by a large margin. The other model uses stroke and radical information to build new Chinese characters. Artificial Chinese characters are produced by Bezier curves passing through some specified points. This model is more flexible in generating artificial handwritten characters than merely distorting the genuine real samples, with both stroke level and radical level variations. Another feature of this character generation model is that it does not require any real handwritten character sample at hand. In other words, we can train the conventional character classifier and perform character recognition tasks without collecting handwritten samples. Experiment results have validated its possibility and the recognition rate is still acceptable. Besides tackling the small sample size problem in face recognition and isolated character recognition, we improve the performance of bank check legal amount recognizer by proposing character segments recognition and applying Hidden Markov Model (HMM). It is hoped that this thesis can provide some insights for future researches in artificial sample generation, face morphing, Chinese character segmentation and text recognition or some other related issues. / published_or_final_version / Electrical and Electronic Engineering / Doctoral / Doctor of Philosophy

Combined top-down and bottom-up algorithms for using context in text recognition

Bouchard, Diana C. January 1979 (has links)
No description available.

Tactile sensing : a case study of the Lord Corporation LTS-300T

Taylor, Jack Rodney 08 1900 (has links)
No description available.

The activity metric for low resource, on-line character recognition

Confer, William James January 2005 (has links) (PDF)
Thesis (Ph.D.)--Auburn University, 2005. / Abstract. Vita. Includes bibliographic references (ℓ. 97-100)

A comparison of representations for digital simple closed curves in E²

Hane, Lin. January 1984 (has links)
Thesis (M.S.)--Ohio University, August, 1984. / Title from PDF t.p.

Syntactic models with applications in image analysis /

Evans, Fiona H. January 2006 (has links)
Ph.D thesis (University of Western Australia (2006)). / Includes bibliographical references.

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