Fast location of address blocks and postcodes in mail-piece images

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

7 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)1199-1214
Journal / PublicationPattern Recognition Letters
Volume17
Issue number11
Publication statusPublished - 16 Sept 1996
Externally publishedYes

Link(s)

DOI

DOI
Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-0030230791&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(145ea5ac-76a0-45fc-85bb-ec586c21308e).html

Abstract

An efficient method is presented for automatically locating address block candidates in images of mail pieces. An image is segmented into clusters and the candidate cluster, based on size, position and pixel density consistency is selected for subsequent processing by OCR methods. The success of the method is demonstrated for several test images.

Research Area(s)

  • Address block location, Image segmentation, Postal automation, Postcode location

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Test Image Engineering
100
Optical Character R... Engineering
100
Subsequent Processi... Computer Science
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Citation Format(s)

[ RIS ] [ BibTeX ]
Fast location of address blocks and postcodes in mail-piece images. / Whichello, Adrian P.; Yan, Hong.
In: Pattern Recognition Letters, Vol. 17, No. 11, 16.09.1996, p. 1199-1214.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review