Map Recognition

Pattern Recognition and Image Preprocessing (repost)  eBooks & eLearning

Posted by Veslefrikk at Jan. 22, 2015
Pattern Recognition and Image Preprocessing (repost)

Pattern Recognition and Image Preprocessing By Sing-Tze Bow
Publisher: Ma..rc..el De..kk..er 1992 | 558 Pages | ISBN: 0824785835 | CHM | 7 MB

Graphics Recognition: Algorithms and Systems (repost)  eBooks & eLearning

Posted by Veslefrikk at Nov. 27, 2014
Graphics Recognition: Algorithms and Systems (repost)

Graphics Recognition: Algorithms and Systems By Karl Tombre, Atul K. Chhabra
Publisher: Spri ngеr 1998 | 421 Pages | ISBN: 3540643818 | DJVU | 6 MB

Pattern Recognition and Image Preprocessing by Sing T. Bow [Repost]  eBooks & eLearning

Posted by tanas.olesya at Nov. 18, 2014
Pattern Recognition and Image Preprocessing by Sing T. Bow [Repost]

Pattern Recognition and Image Preprocessing (Signal Processing and Communications) by Sing T. Bow
CRC Press; 2 edition | January 11, 2002 | English | ISBN: 0824706595 | 720 pages | PDF | 37 MB

Describing non-parametric and parametric theoretic classification and the training of discriminant functions, this second edition includes new and expanded sections on neural networks, Fisher's discriminant, wavelet transform, and the method of principal components.

Pattern Recognition and Image Preprocessing (Repost)  eBooks & eLearning

Posted by step778 at July 5, 2013
Pattern Recognition and Image Preprocessing (Repost)

Sing-Tze Bow, "Pattern Recognition and Image Preprocessing"
2002 | pages: 718 | ISBN: 0824706595 | PDF | 36,8 mb

Novel Techniques for Dialectal Arabic Speech Recognition  eBooks & eLearning

Posted by avava at Feb. 13, 2012
Novel Techniques for Dialectal Arabic Speech Recognition

Mohamed Elmahdy, "Novel Techniques for Dialectal Arabic Speech Recognition"
Publisher: ***nger | ISBN: 1461419050 | 2012 | PDF | 131 pages | 3.8 MB

Pattern Recognition and Image Preprocessing  eBooks & eLearning

Posted by lout at Sept. 3, 2011
Pattern Recognition and Image Preprocessing

Pattern Recognition and Image Preprocessing By Sing-Tze Bow
Publisher: Ma..rc..el De..kk..er 1992 | 558 Pages | ISBN: 0824785835 | CHM | 7 MB

Graphics Recognition: Algorithms and Systems  eBooks & eLearning

Posted by lout at Jan. 8, 2011
Graphics Recognition: Algorithms and Systems

Graphics Recognition: Algorithms and Systems By Karl Tombre, Atul K. Chhabra
Publisher: Spri ngеr 1998 | 421 Pages | ISBN: 3540643818 | DJVU | 6 MB

International Conference on Document Analysis and Recognition (ICDAR)  Magazines

Posted by MrFreeman at Dec. 10, 2010
International Conference on Document Analysis and Recognition (ICDAR)

International Conference on Document Analysis and Recognition (ICDAR)
English | PDF | IEEE computer society | Сompiled for the year: 1993-2009 | 495 MB
Genre: Conference Proceedings

ICDAR - a well-known international forum for experienced and novice researchers and practitioners to exchange the latest ideas, methods and algorithms to analyze, retrieve, compare the performance of computer systems, image identification documents..

Markov Random Field Modeling in Image Analysis (Advances in Pattern Recognition)  eBooks & eLearning

Posted by tot167 at April 4, 2009
Markov Random Field Modeling in Image Analysis (Advances in Pattern Recognition)

Stan Z. Li, "Markov Random Field Modeling in Image Analysis (Advances in Pattern Recognition)"
Springer | 2009 | ISBN: 1848002785 | 362 pages | PDF | 6,8 MB

International Journal of Document Analysis and Recognition  eBooks & eLearning

Posted by asmx786 at Jan. 10, 2007
International Journal of Document Analysis and Recognition

Various authors, «International Journal of Document Analysis and Recognition»
Springer Berlin / Heidelberg | ISSN: 1433-2825 | February 2006 | PDF | Each article - separate file | 65 mb

This journal publishes articles of four primary types - original research papers, correspondence, overviews and summaries, and research notes. Special issues on active areas of research are encouraged. Articles pointed on recognition by computers of the constituent elements of documents – including characters, symbols, text, lines, graphics, images, handwriting, signatures, etc. In addition, these new domains deal with automatic analyses of the overall physical and logical structures of documents, with the ultimate objective of a high-level understanding of their semantic content. Also there are articles on optical character recognition (OCR) and handwriting recognition.