CA2392987A1 - Multi-resolution label locator - Google Patents

Multi-resolution label locator Download PDF

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Publication number
CA2392987A1
CA2392987A1 CA002392987A CA2392987A CA2392987A1 CA 2392987 A1 CA2392987 A1 CA 2392987A1 CA 002392987 A CA002392987 A CA 002392987A CA 2392987 A CA2392987 A CA 2392987A CA 2392987 A1 CA2392987 A1 CA 2392987A1
Authority
CA
Canada
Prior art keywords
image
input image
locator system
label locator
resolution label
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CA002392987A
Other languages
French (fr)
Other versions
CA2392987C (en
Inventor
Jianxin Wu
Gregory P. Skinger
Chai-Seng Wang (Jason)
James Recktenwalt
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
United Parcel Service of America Inc
Original Assignee
United Parcel Service Of America, Inc.
Jianxin Wu
Gregory P. Skinger
Chai-Seng Wang (Jason)
James Recktenwalt
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by United Parcel Service Of America, Inc., Jianxin Wu, Gregory P. Skinger, Chai-Seng Wang (Jason), James Recktenwalt filed Critical United Parcel Service Of America, Inc.
Publication of CA2392987A1 publication Critical patent/CA2392987A1/en
Application granted granted Critical
Publication of CA2392987C publication Critical patent/CA2392987C/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B07SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07CPOSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C1/00Measures preceding sorting according to destination
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition
    • G06V30/14Image acquisition
    • G06V30/146Aligning or centring of the image pick-up or image-field
    • G06V30/147Determination of region of interest
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition
    • G06V30/18Extraction of features or characteristics of the image
    • G06V30/18086Extraction of features or characteristics of the image by performing operations within image blocks or by using histograms
    • G06V30/18095Summing image-intensity values; Projection and histogram analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition
    • G06V30/24Character recognition characterised by the processing or recognition method
    • G06V30/248Character recognition characterised by the processing or recognition method involving plural approaches, e.g. verification by template match; Resolving confusion among similar patterns, e.g. "O" versus "Q"
    • G06V30/2504Coarse or fine approaches, e.g. resolution of ambiguities or multiscale approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/40Document-oriented image-based pattern recognition
    • G06V30/42Document-oriented image-based pattern recognition based on the type of document
    • G06V30/424Postal images, e.g. labels or addresses on parcels or postal envelopes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10STECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S209/00Classifying, separating, and assorting solids
    • Y10S209/90Sorting flat-type mail

Abstract

A multi-resolution label locator system divides an input image into a plurality of multi-pixel cells. The multi-resolution label locator system then crates a decimated image or low resolution image corresponding to the input image. The decimated image includes a common-characteristic value that corresponds to a multi-pixel cell of the input image. The multi-resolution label locator system identifies one or more areas within the decimated image that have characteristics corresponding to the characteristics of interest. While generating the decimated image, the multi-resolution label locator system simultaneously creates an edge-occurrence image that corresponds to the input image. The edge-occurrence image includes an edge value that corresponds to each cell of the input image. Each edge value represents the number of occurrences of an edge within the pixels of a corresponding cell of the input image. The multi-resolution label locator system identifies one or more candidate areas within the input image that have decimated-image characteristics and edge-occurrence image characteristics corresponding to the characteristics of interest. The multi-resolution label locator system then classifies the candidate areas according to the likelihood of the input image containing indicia having the characteristics of interest. Lastly. the multi-resolution label locator system compiles a list of one or more candidate areas that most likely contain indicia having the characteristics of interest.
CA002392987A 1999-12-03 2000-11-29 Multi-resolution label locator Expired - Fee Related CA2392987C (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US09/454,090 1999-12-03
US09/454,090 US6728391B1 (en) 1999-12-03 1999-12-03 Multi-resolution label locator
PCT/US2000/042360 WO2001046899A2 (en) 1999-12-03 2000-11-29 Multi-resolution label locator

Publications (2)

Publication Number Publication Date
CA2392987A1 true CA2392987A1 (en) 2001-06-28
CA2392987C CA2392987C (en) 2008-04-01

Family

ID=23803262

Family Applications (1)

Application Number Title Priority Date Filing Date
CA002392987A Expired - Fee Related CA2392987C (en) 1999-12-03 2000-11-29 Multi-resolution label locator

Country Status (10)

Country Link
US (1) US6728391B1 (en)
EP (1) EP1234273B1 (en)
JP (1) JP3910447B2 (en)
CN (1) CN100334591C (en)
AT (1) ATE279757T1 (en)
CA (1) CA2392987C (en)
DE (1) DE60014959T2 (en)
DK (1) DK1234273T3 (en)
ES (1) ES2231309T3 (en)
WO (1) WO2001046899A2 (en)

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Also Published As

Publication number Publication date
DK1234273T3 (en) 2005-01-31
DE60014959D1 (en) 2004-11-18
ATE279757T1 (en) 2004-10-15
EP1234273A2 (en) 2002-08-28
CN1415103A (en) 2003-04-30
WO2001046899A2 (en) 2001-06-28
CA2392987C (en) 2008-04-01
DE60014959T2 (en) 2005-12-01
JP2003518300A (en) 2003-06-03
WO2001046899A3 (en) 2002-03-14
CN100334591C (en) 2007-08-29
EP1234273B1 (en) 2004-10-13
JP3910447B2 (en) 2007-04-25
US6728391B1 (en) 2004-04-27
ES2231309T3 (en) 2005-05-16

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Effective date: 20151130