SG11201807829RA - Methods and a computing device for determining whether a mark is genuine - Google Patents

Methods and a computing device for determining whether a mark is genuine

Info

Publication number
SG11201807829RA
SG11201807829RA SG11201807829RA SG11201807829RA SG11201807829RA SG 11201807829R A SG11201807829R A SG 11201807829RA SG 11201807829R A SG11201807829R A SG 11201807829RA SG 11201807829R A SG11201807829R A SG 11201807829RA SG 11201807829R A SG11201807829R A SG 11201807829RA
Authority
SG
Singapore
Prior art keywords
mark
international
computing
genuine
image
Prior art date
Application number
SG11201807829RA
Inventor
Matthias Voigt
Michael Soborski
Rafik Ayoub
Original Assignee
Sys Tech Solutions Inc
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 Sys Tech Solutions Inc filed Critical Sys Tech Solutions Inc
Publication of SG11201807829RA publication Critical patent/SG11201807829RA/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
    • G06K7/1404—Methods for optical code recognition
    • G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
    • G06K7/1434—Barcodes with supplemental or add-on codes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/80—Recognising image objects characterised by unique random patterns
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
    • G06K7/1404—Methods for optical code recognition
    • G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
    • G06K7/1413—1D bar codes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
    • G06K7/1404—Methods for optical code recognition
    • G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
    • G06K7/1417—2D bar codes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/10—Image acquisition
    • G06V10/12—Details of acquisition arrangements; Constructional details thereof
    • G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
    • G06V10/143—Sensing or illuminating at different wavelengths
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/42—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation
    • G06V10/431—Frequency domain transformation; Autocorrelation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/761—Proximity, similarity or dissimilarity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/762—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/95—Pattern authentication; Markers therefor; Forgery detection

Abstract

INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property -, Organization IIIMI41101110101011111 HO 11111011101111001111011101111101111011111 International Bureau ... ..... ..Yi j ..... .„,,,, (10) International Publication Number (43) International Publication Date WO 2017/160715 Al 21 September 2017 (21.09.2017) WIP0 I PCT (51) International Patent Classification: (81) Designated States (unless otherwise indicated, for every G06F 17/30 (2006.01) GO6K 19/10 (2006.01) kind of national protection available): AE, AG, AL, AM, G06K 19/06 (2006.01) GO6Q 30/00 (2012.01) AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, G06K 19/08 (2006.01) GO6T 1/00 (2006.01) BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, (21) International Application Number: HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KH, KN, PCT/US2017/022097 KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, (22) International Filing Date: MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, 13 March 2017 (13.03.2017) NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, (25) Filing Language: English TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, (26) Publication Language: English ZA, ZM, ZW. (30) Priority Data: (84) Designated States (unless otherwise indicated, for every 62/307,901 14 March 2016 (14.03.2016) US kind of regional protection available): ARIPO (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, (71) Applicant: SYS-TECH SOLUTIONS, INC. [US/US]; TZ, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, One Research Way, Princeton, NJ 08540 (US). TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, (72) Inventors: VOIGT, Matthias; 30 Merion Place, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, Lawrenceville, NJ 08648 (US). SOBORSKI, Michael, L.; 8 Philip Court, Allentown, NJ 08501 (US). AYOUB, SM, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, — Rafik; 11 Millstone Road, Princeton Junction, NJ 08550 GW, KM, ML, MR, NE, SN, TD, TG). =_ (US). Published: _ (74) Agents: WULFF, Richard, A. et al.; Drinker Biddle & — with international search report (Art. 21(3)) _ = Reath LLP, 191 N. Wacker Drive, Suite 3700, Chicago, IL 60606-1698 (US). = = (54) Title: METHODS AND A COMPUTING DEVICE FOR DETERMINING WHETHER A MARK IS GENUINE (57) : Methods for determining whether = — Mark-Applying 106 r 108 a mark is genuine are described. According to Device implementations, a device (or 100 various computing = 104 — First image- First Computing logic circuitry thereof) receives (e.g., via a cam- Capturing Device Device era or via a communication network) an image of — — Legitimate Physical Genuine Mark a candidate mark (e.g., a one- dimensional or two-dimensional barcode), uses the image to = = = object 1 8 102 r 120 second make measurements of a characteristic of a fea- Computing ture of the candidate mark, resulting in a profile Device 110 for that feature. The computing device filters out, from the feature profile, all spatial frequency components that are indicated to be sibling fre- — — 1 Second Image- Third Computing quency components. In some embodiments, the Media Storage computing device carries out the reverse proced- 1 Capturing Device Device Device ure, and filters out all spatial frequency compon- 112 _ ents except for those indicated to be sibling fre- — 114 quency components. 11 11 in 11 Unverified Physical Candidate Mar k Ir---- © ,-, IN ,-, © ei 116 FIG. 1 O
SG11201807829RA 2016-03-14 2017-03-13 Methods and a computing device for determining whether a mark is genuine SG11201807829RA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201662307901P 2016-03-14 2016-03-14
PCT/US2017/022097 WO2017160715A1 (en) 2016-03-14 2017-03-13 Methods and a computing device for determining whether a mark is genuine

Publications (1)

Publication Number Publication Date
SG11201807829RA true SG11201807829RA (en) 2018-10-30

Family

ID=59786895

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11201807829RA SG11201807829RA (en) 2016-03-14 2017-03-13 Methods and a computing device for determining whether a mark is genuine

Country Status (14)

Country Link
US (1) US10061958B2 (en)
EP (2) EP4057206A1 (en)
JP (1) JP6535823B1 (en)
KR (1) KR101978109B1 (en)
CN (1) CN109074371B (en)
AU (1) AU2017234124B2 (en)
BR (1) BR112018068471A2 (en)
CA (1) CA3016131C (en)
IL (1) IL261523B (en)
MX (1) MX2018011200A (en)
RU (1) RU2682407C1 (en)
SG (1) SG11201807829RA (en)
WO (1) WO2017160715A1 (en)
ZA (1) ZA201805798B (en)

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CN112149775A (en) * 2020-09-30 2020-12-29 北京小龙潜行科技有限公司 Visual label application method and device
US20220292157A1 (en) 2021-03-15 2022-09-15 Sys-Tech Solutions, Inc. Dynamic Rerouting of Uniform Resource Identifiers Having Different Syntaxes
WO2023205473A1 (en) 2022-04-21 2023-10-26 Sys-Tech Solutions, Inc. Mark authentication with distortion tolerance
WO2023250186A1 (en) 2022-06-24 2023-12-28 Sys-Tech Solutions, Inc. Supply chain visualization and control
CN115273976B (en) * 2022-08-24 2023-05-05 温州医科大学 Method, system, equipment and storage medium for identifying semi-sibling relation

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