Data capture from rendered documents using handheld device

• US 7,593,605 B2
• Filed: 04/01/2005
• Issued: 09/22/2009
• Est. Priority Date: 02/15/2004
• Status: Active Grant

• Current Assignee: Kyocera Corporation
• Original Assignee: Exbiblio BV
• Inventors: Stafford-Fraser, James Q., Kushler, Clifford A., Grover, Dale L., King, Martin T.
• Primary Examiner(s): Mariam, Daniel G
• Application Number:
  US11/098,042
• Publication Number:
  US 20060029296A1
• Time in Patent Office: 1,635 Days
• Field of Search: 382/190, 382/209, 382/229, 382/305, 382/313, 382/314, 382/312, 358/403, 358/462, 707/3, 707/E17.058, 715/200, 715/206
• US Class Current: 382/313
• CPC Class Codes: G06F 16/316 Indexing structures
• CPC Class Codes: G06F 16/332 Query formulation
• CPC Class Codes: G06F 16/40 of multimedia data, e.g. slideshows comprising image and additional audio data retrieval of still image data G06F16/50; retrieval of audio data G06F16/60; retrieval of video data G06F16/70
• CPC Class Codes: G06F 16/41 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/433 using audio data
• CPC Class Codes: G06F 16/434 using image data, e.g. images, photos, pictures taken by a user
• CPC Class Codes: G06F 16/435 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/48 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/58 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: G06F 16/955 using information identifiers, e.g. uniform resource locators [URL]
• CPC Class Codes: G06F 16/9554 by using bar codes
• CPC Class Codes: G06F 40/117 Tagging; Marking up details of markup languages G06F40/143; Designating a block; Setting of attributes style sheets, e.g. eXtensible Stylesheet Language Transformation [XSLT], G06F40/154
• CPC Class Codes: G06F 40/134 Hyperlinking
• CPC Class Codes: G06F 40/14 Tree-structured documents parsing G06F40/205; validation G06F40/226
• CPC Class Codes: G06F 40/169 Annotation, e.g. comment data or footnotes
• CPC Class Codes: G06F 40/174 Form filling; Merging
• CPC Class Codes: G06K 17/0016 Selecting or retrieving of images by means of their associated code-marks, e.g. coded microfilm or microfiche microfilm reading G03B21/11; computers therefor G06F16/00; teaching devices G09B5/02; accessing record carriers G11B27/002; static digital stores using optical elements G11C13/04; intermediate storage of facsimile picture signals H04N1/21
• CPC Class Codes: G06Q 10/00 : Administration; Management
• CPC Class Codes: G06Q 10/10 : Office automation; Time management
• CPC Class Codes: G06Q 20/102 : Bill distribution or payments
• CPC Class Codes: G06Q 20/12 : specially adapted for electronic shopping systems
• CPC Class Codes: G06Q 20/4012 : Verifying personal identification numbers [PIN]
• CPC Class Codes: G06Q 30/00 : Commerce
• CPC Class Codes: G06Q 30/02 : Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0207 : Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 30/0241 : Advertisements
• CPC Class Codes: G06Q 30/0283 : Price estimation or determination
• CPC Class Codes: G06Q 30/04 : Billing or invoicing
• CPC Class Codes: G06Q 30/06 : Buying, selling or leasing transactions
• CPC Class Codes: G06Q 30/0601 : Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 30/0603 : Catalogue ordering
• CPC Class Codes: G06Q 30/0623 : Item investigation
• CPC Class Codes: G06Q 30/0641 : Shopping interfaces
• CPC Class Codes: G06Q 30/0643 : Graphical representation of items or shoppers
• CPC Class Codes: G06Q 40/04 : Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: G06V 30/10 : Character recognition
• CPC Class Codes: G06V 30/142 : using hand-held instruments; Constructional details of the instruments
• CPC Class Codes: G06V 30/1444 : Selective acquisition, locating or processing of specific regions, e.g. highlighted text, fiducial marks or predetermined fields
• CPC Class Codes: G06V 30/1448 : based on markings or identifiers characterising the document or the area
• CPC Class Codes: G06V 30/248 : involving plural approaches, e.g. verification by template match; Resolving confusion among similar patterns, e.g. "O" versus "Q" G06V30/242 takes precedence
• CPC Class Codes: G06V 30/262 : using context analysis, e.g. lexical, syntactic or semantic context
• CPC Class Codes: G06V 30/40 : Document-oriented image-based pattern recognition
• CPC Class Codes: G07F 17/40 : for devices for accepting orders, advertisements, or the like
• CPC Class Codes: H04N 1/00204 : with a digital computer or a digital computer system, e.g. an internet server programmed control between transmitter and receiver or between image input and image output device H04N1/32561
• CPC Class Codes: H04N 1/00244 : with a server, e.g. an internet server fax-servers or the like for store and forward H04N1/324
• CPC Class Codes: H04N 1/00326 : with a data reading, recognizing or recording apparatus, e.g. with a bar-code apparatus arrangements for the associated working of recording or reproducing apparatus with related apparatus G11B31/00
• CPC Class Codes: H04N 1/0036 : Alphanumeric symbols
• CPC Class Codes: H04N 1/00363 : Bar codes or the like
• CPC Class Codes: H04N 1/00374 : on the same page as at least a part of the image
• CPC Class Codes: H04N 1/00381 : Input by recognition or interpretation of visible user gestures manual input means, e.g. digitisers, writing tablets H04N1/00392; gesture input to computers G06F3/017; recognition algorithms G06V40/20
• CPC Class Codes: H04N 1/107 : with manual scanning
• CPC Class Codes: H04N 1/2166 : for mass storage, e.g. in document filing systems information retrieval G06F16/00
• CPC Class Codes: H04N 1/2187 : with image input from a plurality of different locations or from a non-central location, e.g. from one or more users
• CPC Class Codes: H04N 1/32128 : attached to the image data, e.g. file header, transmitted message header, information on the same page or in the same computer file as the image for information embedded in the image H04N1/32144
• CPC Class Codes: H04N 1/34 : for coin-freed systems ; Pay systems
• CPC Class Codes: H04N 2201/0081 : Image reader H04N2201/0091 - H04N2201/0094 take precedence
• CPC Class Codes: H04N 2201/3215 : of a time or duration
• CPC Class Codes: H04N 2201/3249 : data relating to a linked page or object, e.g. hyperlink
• CPC Class Codes: H04N 2201/3253 : Position information, e.g. geographical position at time of capture, GPS data
• CPC Class Codes: H04N 2201/3263 : of a graphical motif or symbol, e.g. Christmas symbol, logo H04N2201/3211 takes precedence
• CPC Class Codes: H04N 2201/3266 : of text or character information, e.g. text accompanying an image H04N2201/3226 takes precedence
• CPC Class Codes: H04N 2201/3277 : The additional information being stored in the same storage device as the image data
• CPC Class Codes: H04N 2201/3278 : Transmission
• CPC Class Codes: Y02A 90/10 : Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
• CPC Class Codes: Y10S 707/99931 : Database or file accessing
• CPC Class Codes: Y10S 707/99934 : Query formulation, input preparation, or translation
• CPC Class Codes: Y10S 707/99936 : Pattern matching access
• CPC Class Codes: Y10S 707/99943 : Generating database or data structure, e.g. via user interface
• CPC Class Codes: Y10S 707/99945 : Object-oriented database structure processing

Abstract

A portable device having scanning, imaging or other data-capture capability is described. In some cases, the portable device can indicate to the user when enough information has been captured to uniquely identify a source document. In some cases, the portable device calculates timestamps and location-stamps indicating when and where a data capture occurred. In some cases, the portable device is controlled by gestures. In some cases, the portable scanning device has associated billing and content/service subscription information.

Claims

1. A mobile phone, comprising:

control logic;

a memory, coupled to the control logic, that stores data and instructions executable by the control logic; and

an optical data capture element that captures data from an unidentified printed document;

wherein the instructions include;

instructions that cause the data capture element to capture an arbitrary human-readable text sequence from the unidentified printed document, the arbitrary human-readable text sequence representing less than a whole page in the body of the unidentified printed document;

instructions that cause the mobile phone to derive from the arbitrary captured text sequence a document signature that identifies i) the printed document and ii) a location within the body of the printed document; and

instructions that cause the mobile phone to indicate that an action layer associated with the printed document was identified in accordance with the document signature, the action layer indicating a plurality of actions specific to the identified location within the body of the printed document.

2. A computer-implemented method for processing a text capture operation, comprising:

receiving an indication that a user of a mobile phone has performed a text capture operation via said mobile phone on an unidentified printed document the text capture operation capturing an arbitrary text sequence, wherein said arbitrary text sequence represents less than a whole page of human-readable text from the body of the printed document;

determining that the received indication comprises sufficient information to derive a document signature that identifies i) the printed document and ii) a location within the body of the printed document; and

determining that the document signature comprises sufficient information to identify an action layer associated with the printed document, the action layer indicating a plurality of actions specific to the identified location within the body of the printed document.

3. The method of claim 2 wherein the rendered document contains at least one line of text, and wherein the captured text sequence is a proper subset of the text contained in a single line of the rendered document.

4. The method of claim 2 wherein the rendered document contains at least one page of text, and wherein the captured text sequence is a proper subset of the text contained in a single page of the rendered document.

5. The method of claim 2 wherein the captured text sequence is comprised of words, and wherein the text capture operation involves specific user interactions with each of the words of the captured text sequence.

6. The method of claim 5 wherein the user speaks each of the words of the captured text sequence.

7. The method of claim 5 wherein the user directs an optical sensor at each of the words of the captured text sequence.

8. The method of claim 2 wherein the captured text sequence is comprised of ordered words, and wherein the text capture operation involves capturing physical phenomena corresponding to each of the words of the captured text sequence in the order of the captured text sequence.

9. The method of claim 2 wherein the captured text sequence is comprised of ordered words, and wherein the text capture operation involves capturing physical phenomena corresponding to each of the words of the captured text sequence in the reverse order of the captured text sequence.

10. The method of claim 2 wherein the text capture operation comprises manually moving an optical sensor across the rendered document.

11. The method of claim 2 wherein the text capture operation comprises capturing image data from a non-rectangular region of the rendered document.

12. The method of claim 2 wherein the text sequence captured by the text capture operation comprises fewer than ten words.

13. The method of claim 2 wherein the text capture operation comprises capturing an image of fewer than ten words.

14. The method of claim 2, further comprising identifying a position in the related document at which the text sequence occurs.