See this document in CiteSeerX!

A Segmentation Algorithm used in Conjunction with Artificial Neural Networks for the Recognition of Real-World Postal Addresses (1997)  (Make Corrections)  (4 citations)
Michael Blumenstein, Brijesh Verma



  Home/Search   Context   Related

 
View or download:
gu.edu.au/publications/JIS97_Post.ps
gu.edu.au/~mblum/public...JIS97_Post.ps
Cached:  PS.gz  PS  PDF   Image  Update  Help

From:  gu.edu.au/michael/publications (more)
From:  gu.edu.au/~mblum/publications
(Enter author homepages)

Rate this article: (best)
  Comment on this article  
(Enter summary)

Abstract: Artificial Neural Networks (ANNs) have been successfully applied for pattern recognition, speech recognition, control and other real world problems. This paper presents a method for segmentation of printed and difficult handwritten postal addresses. The segmentation algorithm is used to prepare raw training data for use with an Artificial Neural Network. The C programming language, the SP2 supercomputer and a SUN workstation were used for the experiments. The algorithm has been successfully... (Update)

Context of citations to this paper:   More

...could take place, it was then necessary to convert the images into binary representations of the handwriting. A method previously used in [14], was employed for this purpose. At this stage, the handwriting could be used for processing in further steps. 2.2 Segmentation using...

...could take place, it was then necessary to convert the images into binary representations of the handwriting. A method previously used in [10], was employed for this purpose. At this stage, the handwriting could be used for processing in further steps. B. Heuristic...

Cited by:   More
Recent Achievements In Off-Line Handwriting Recognition.. - Verma, Blumenstein.. (1998)   (Correct)
An Artificial Neural Network Based Segmentation Algorithm.. - Blumenstein, Verma (1997)   (Correct)
Conventional Vs. Neuro-Conventional Segmentation Techniques .. - Blumenstein, Verma   (Correct)

Similar documents (at the sentence level):
65.8%:   A Segmentation Algorithm used in Conjunction with.. - Michael Blumenstein (1997)   (Correct)
20.6%:   A Neural Network for Real-World Postal Address Recognition - Blumenstein, Verma   (Correct)

Active bibliography (related documents):   More   All
0.9:   A Neural Based Segmentation and Recognition Technique for.. - Blumenstein, Verma (1998)   (Correct)
0.2:   Recognition of Rotating Images Using an Automatic Feature.. - Brijesh Verma   (Correct)
0.2:   A New Segmentation Algorithm for Handwritten Word Recognition - Blumenstein, Verma (1999)   (Correct)

Similar documents based on text:   More   All
0.3:   The Evolution of a Multimedia Delivery System and its Effects .. - Vicki Jones Jun   (Correct)
0.3:   Neural-based Solutions for the Segmentation and Recognition .. - Blumenstein, Verma (1999)   (Correct)
0.3:   A New Compression Technique Using an Artificial Neural.. - Verma, Blumenstein..   (Correct)

Related documents from co-citation:   More   All
5:   A New Methodology for Gray-Scale Character Segmentation and Recognition (context) - Lee, Lee et al. - 1996
4:   Building a new generation of handwriting recognition systems (context) - Suen, Legault et al. - 1993
4:   A Feature Based Neural Network Segmenter for Handwritten Words (context) - Eastwood, Jennings et al. - 1997

BibTeX entry:   (Update)

M. Blumenstein, and B. Verma, "A Segmentation Algorithm used in Conjunction with Artificial Neural Networks for the Recognition of Real-World Postal Addresses", International Conference on Computational Intelligence and Multimedia Applications (ICCIMA '97), Gold Coast, Australia, 1997, pp. 155-160. http://citeseer.ist.psu.edu/article/blumenstein97segmentation.html   More

@misc{ blumenstein97segmentation,
  author = "M. Blumenstein and B. Verma",
  title = "A Segmentation Algorithm used in Conjunction with Artificial Neural Networks
    for the Recognition of Real-World Postal Addresses",
  text = "M. Blumenstein, and B. Verma, A Segmentation Algorithm used in Conjunction
    with Artificial Neural Networks for the Recognition of Real-World Postal
    Addresses, International Conference on Computational Intelligence and Multimedia
    Applications (ICCIMA '97), Gold Coast, Australia, 1997, pp. 155-160.",
  year = "1997",
  url = "citeseer.ist.psu.edu/article/blumenstein97segmentation.html" }
Citations (may not include all citations):
45   Handwritten Digit Recognition with a Back-Propagation Networ.. - Le Cun - 1990
21   Artificial Neural Networks for image understanding (context) - Kulkarni - 1994
11   Segmenting Handwritten Signatures at their Perceptually Impo.. (context) - Brault - 1993
10   Research into the new generation of character and mailing ad.. (context) - Gilloux - 1993
9   A Feature based Neural Network Segmenter for Handwritten Wor.. (context) - Eastwood, Jennings et al. - 1997
8   Line Recognition of Handwritten Arabic Characters (context) - Al-Emami, Usher - 1990
5   Multistage Neural Network for Pattern Recognition in Mammogr.. (context) - Zheng, Qian et al. - 1994
5   Shape and Texture Recognition by a Neural Network (context) - Khotanzad, Lu - 1991
4   Handwritten Hindi Character Recognition Using RBF and MLP Ne.. (context) - Verma - 1995
4   Handwritten Signature retrieval and Identification (context) - Han, Sethi - 1996
1   Handwriting Recognition Technology and its integration into .. (context) - Srihari - 1997

Documents on the same site (http://eassun.eas.gu.edu.au/michael/publications.html):   More
A Neural Network for Real-World Postal Address Recognition - Blumenstein, Verma   (Correct)
A New Compression Technique Using an Artificial Neural.. - Verma, Blumenstein..   (Correct)
Image Compression using a Direct Solution Method Based.. - Kulkarni, Verma..   (Correct)

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC