NDLI: Handwritten address interpretation system allowing for non-use of postal codes and omission of address elements

Content Provider	IEEE Xplore Digital Library
Author	Akiyama, T. Nishiwaki, D. Ishidera, E. Kondoh, K. Hayashi, M. Yamauchi, T.
Copyright Year	2004
Description	Author affiliation: Media & Information Res. Lab., NEC Corp., Kawasaki, Japan (Akiyama, T.; Nishiwaki, D.; Ishidera, E.)
Abstract	This paper reports a new address interpretation system which allows both non-use of postal codes and omission of address elements, such as the omission of county or state when a city name has been given. While lexicon-driven recognizers show good recognition performance when they are input with adequate word images and a lexicon containing correct word strings, it is difficult to design one which would be of practical use when postal codes are not in use and elements of addresses may have been omitted. That is to say, an inadequate design in this area is likely to result in an impractically high erroneous recognition rate. In response to this problem, we propose here an advanced address interpretation system that utilizes both an improved address interpretation method and improved word recognition methods. The improved address interpretation method has been designed to satisfy as completely as possible the need to accommodate non-use of postal codes and the omission of address elements, while the improved word recognition methods have been designed to achieve low erroneous recognition rates in cases in which that need has not been fully satisfied. When we applied our new system to approximately 2,000 actual address images for which that need would be relevant, we achieved a 52% rate of correct outward sorting with only a 0.7% rate of erroneous outward sorting. These rates are good enough for practical applications.
Sponsorship	Hitachi, Japan IBM, USA Fujitsu Lab., Japan NEC, Japan Toshiba, Japan Microsoft, USA Int. Assoc. for Pattern Recognition
Starting Page	527
Ending Page	532
File Size	175140
Page Count	6
File Format	PDF
ISBN	0769521878
ISSN	15505235
DOI	10.1109/IWFHR.2004.52
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-26
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sorting Cities and towns Postal services National electric code Image recognition Design methodology Laboratories Humans Conferences Handwriting recognition
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Handwritten address interpretation using word recognition with and without lexicon

Interpretation of handwritten addresses in US mailstream

A probabilistic approach to automatic handwritten address reading

Handwritten ZIP code recognition

Recognition of handwritten Chinese postal address using neural networks

A blackboard-based approach to handwritten ZIP code recognition

An efficient post-processing approach for off-line handwritten chinese address recognition

Recognition and verification of postcodes in handwritten and hand-printed addresses

Base line correction for handwritten word recognition

Handwritten address interpretation system allowing for non-use of postal codes and omission of address elements

Similar Documents

Handwritten address interpretation using word recognition with and without lexicon

Interpretation of handwritten addresses in US mailstream

A probabilistic approach to automatic handwritten address reading

Handwritten ZIP code recognition

Recognition of handwritten Chinese postal address using neural networks

A blackboard-based approach to handwritten ZIP code recognition

An efficient post-processing approach for off-line handwritten chinese address recognition

Recognition and verification of postcodes in handwritten and hand-printed addresses

Base line correction for handwritten word recognition

Handwritten address interpretation system allowing for non-use of postal codes and omission of address elements