More Web Proxy on the site http://driver.im/

research-article

Application of PR Techniques to Mail Sorting in China

Authors:

Ching Y. SuenAuthors Info & Claims

C3S2E '14: Proceedings of the 2014 International C* Conference on Computer Science & Software Engineering

Article No.: 11, Pages 1 - 7

https://doi.org/10.1145/2641483.2641536

Published: 03 August 2014 Publication History

Abstract

Mail sorting machines play an important role in postal automation. In this paper, we give a brief overview of mail sorting machines in China Post from a pattern recognition point of view. OCR techniques such as postcode recognition and address recognition are essential for mail sorting machines, which are considered as class imbalance problems in our study. In addition to OCR that mainly focuses on the characters in the image, some image-level features are exploited for near-duplicate envelope image matching, which is helpful in tracking pieces of mail in the network environment.

References

[1]

Y. Wen, Y. Lu and P.F. Shi. Handwritten Bangla numeral recognition system and its application to postal automation, Pattern Recognition 40 (1) (2007) 99--107.

Digital Library

[2]

Y. Lu and C.L. Tan. Combination of multiple classifiers using probabilistic dictionary and its application to postcode recognition, Pattern Recognition 35(12) (2002) 2823--2832.

[3]

Y. Jiang, X.Q. Ding and Z. Ren. A suffix tree based handwritten Chinese address recognition system, in: Proceedings of International Conference on Document Analysis and Recognition, 2007, pp. 292--296.

Digital Library

[4]

Z. Han, C.P. Liu and X.C. Yin. A two-stage handwritten character segmentation approach in mail address recognition, in: Proceedings of International Conference on Document Analysis and Recognition, 2005, pp.111--115.

Digital Library

[5]

C.-L. Liu, M. Koga and H. Fujisawa. Lexicon-driven segmentation and recognition of handwritten character strings for Japanese address reading, IEEE Transactions on Pattern Analysis and Machine Intelligence 24(11) (2002) 1425--1437.

Digital Library

[6]

Y. Lu, X. Tu and S.J. Lu, et al. Application of pattern recognition technology to postal automation in China, in: Pattern Recognition and Machine Vision-in Honor and Memory of Professor King-Sun Fu, River Pub. Co., Denmark, March 2010, pp.367--381.

[7]

N. Thai-Nghe, Z. Gantner and L. Schmidt-Thieme. Cost-sensitive learning methods for imbalanced data, in: Proceedings of International Joint Conference on Neural Networks, 2010, pp.1--8.

[8]

Y. Zhang and Z.H. Zhou. Cost-sensitive face recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence 32(10) (2010) 1758--1769.

Digital Library

[9]

S.J. Lu, L. Liu and Y. Lu, et al. Cost-sensitive neural network classifiers for postcode recognition, International Journal of Pattern Recognition and Artificial Intelligence 26(5) (2012) 1--14.

[10]

C.-L. Liu. Handwritten Chinese character recognition: Effects of shape normalization and feature extraction, Arabic and Chinese Handwriting Recognition, S. Jaeger and D. Doermann (Eds.), LNCS 4768, Springer, 104--128, 2008.

Digital Library

[11]

T.H. Su, T.W. Zhang and D.J. Guan, et al. Off-line recognition of realistic Chinese handwriting using segmentation-free strategy, Pattern Recognition 42(1) (2009) 167--182.

Digital Library

[12]

S.J. Lu, X.H. Wei and Y. Lu. Cost-sensitive transformation for Chinese addresses recognition, in: Proceedings of 22nd International Conference on Pattern Recognition, accepted.

[13]

L. Liu, Y. Lu and C.Y. Suen. Novel global and local features for near-duplicate document image matching, in: Proceedings of 22nd International Conference on Pattern Recognition, accepted.

[14]

S. Boltz, F. Nielsen and S. Soatto. Earth Mover Distance on superpixels, in: Proceedings of International Conference on Image Processing, 2010, pp. 4597--4600.

[15]

Z.H. Guo, L. Zhang and D. Zhang. A completed modeling of local binary pattern operator for texture classification, IEEE Transactions on Image Processing 19(6) (2010) 1657--1663.

Digital Library

[16]

M. Heikkila, M. Pietikainen and C. Schmid. Description of interest regions with local binary patterns, Pattern Recognition 42(3) (2009) 425--436.

Digital Library

[17]

M. Kokare, P.K. Biswas and B.N. Chatterji. Texture image retrieval using rotated wavelet filters, Pattern Recognition Letters 28(10) (2007) 1240--1249.

Digital Library

Cited By

Chatterjee SMukherjee HSen SObaidullah SRoy K(2023)City name recognition for Indian postal automation: Exploring script dependent and independent approachMultimedia Tools and Applications10.1007/s11042-023-16137-883:8(22371-22394)Online publication date: 5-Aug-2023
https://doi.org/10.1007/s11042-023-16137-8

Index Terms

Application of PR Techniques to Mail Sorting in China
1. Computing methodologies
  1. Machine learning

Recommendations

Radon transform and dynamic programming for the Persian handwritten zip code recognition

Pattern recognition is one of the major research areas in computer sciences. Optical character recognition OCR as one of the pattern recognition topics has specifically attracted the interests of many researchers. This paper presents a method for ...
A visual programming toolkit demonstrator for offline handwritten forms recognition
ICDAR '95: Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2

Successful commercialisation of off-line handwritten forms-based applications requires integration of numerous different handwriting recognition components with form-specific syntactic and contextual knowledge. To support these requirements, we are ...
Handwritten ZIP Code Recognition
ICDAR '97: Proceedings of the 4th International Conference on Document Analysis and Recognition

The encoding of delivery point code (DPC) for handwritten address is one of the most complex problems of the US mail delivery automation. This paper describes a real-time system intended to recognize the 5-digit ZIP code part of DPC. To increase the ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

C3S2E '14: Proceedings of the 2014 International C* Conference on Computer Science & Software Engineering

August 2014

201 pages

ISBN:9781450327121

DOI:10.1145/2641483

General Chair:
Bipin C. Desai
Concordia University, Canada

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 August 2014

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

C3S2E '14

C3S2E '14: International C* Conference on Computer Science & Software Engineering

August 3 - 5, 2014

QC, Montreal, Canada

Acceptance Rates

Overall Acceptance Rate 12 of 42 submissions, 29%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
71
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)0

Reflects downloads up to 04 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Chatterjee SMukherjee HSen SObaidullah SRoy K(2023)City name recognition for Indian postal automation: Exploring script dependent and independent approachMultimedia Tools and Applications10.1007/s11042-023-16137-883:8(22371-22394)Online publication date: 5-Aug-2023
https://doi.org/10.1007/s11042-023-16137-8

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents