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Center for Unified Biometrics and Sensors: Projects, Technologies, Unique Capabilities

Center for Unified Biometrics and Sensors: Projects, Technologies, Unique Capabilities

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  • Some more detail concerning the impact of ruled line removal on word recognition:We extracted all the test word images from lined pages and measured the top choice recognition performance. Here are the numbers: -- Total word images in test set : 848 from a total of 274 pages. Of these: -- Number of word images from pages with ruled lines: 460, from 146 lined pages. -- The ratio of words and pages with ruled lines in the 34 PAW data set: 460/848 = 54.25% (word), 146/274=53.28% (pages).Recognition performance on words from lined pages: -- Top1: Earlier: 318/460 = 69.13% Now: 349/460 = 75.87% The ruled line removal improves the word recognition for top 1 by 6.74% (evaluated on words from lined pages). Overall improvement for top 1 is by 4.13% (evaluated using test set including all word images from lined or non-lined pages - which we had reported earlier).Also the PAW recognizer is a straightforward implementation using a k-nearest neighbor classifier. The features used are CUBS Gradient, Structure and ConcavityFeatures. The classifier is a very simple implementation that can be improved and its purpose was for testing the effectiveness of our features.

CUBS expertise CUBS expertise Presentation Transcript

  • CUBS
    R&D Portfolio
    VenuGovindaraju
    Distinguished Professor, SUNY Buffalo
  • Overview
    Unique Capabilities
    Sponsors
    Technology Transfer Record
    Projects
    Biometrics
    Document Recognition and Retrieval
    Security
    People
  • Unique Capabilities
    Faculty strengths in multiple disciplines
    Behavioral Sciences, Social Issues
    Computer Vision, Visualization
    Chemical and Biological Sensors
    Pattern Recognition, Machine Learning
    Smart Environments, Pervasive Computing
    Spectroscopy
    Solid record of transferring of technology to field
    Large pool of current PhD students (10)
    Growing pool of PhD alumni in industry (25)
    Several current projects with industry
  • Sponsors(last 5 years)
    ACIS, Buffalo, NY
    Applied Media Analysis, College Park, MD
    BBN Technologies, Cambridge, MA
    Buffalo Computer Graphics, Blasdell, NY
    CUBRC, Cheektowaga, NY
    Fujitsu, Sunnyvale, CA
    HP Labs, India
    Health Transaction Network, Williamsville, NY
    Matrix, Niagara Falls, NY
    Ultra-Scan, Amherst, NY
    • Army Research Labs
    • Defense Intelligence Agency (DIA)
    • Directorate of Central Intelligence (DCI)
    • National Endowment of Humanities (NEH)
    • National Science Foundation (NSF)
    • NYSTAR
    • Oishei Foundation
  • Technology Transfer
    4 US patents awarded
    Biometric convolution; Handwriting comparisons; Diagnosis of physiological states; Handwriting recognition
    4 US patents pending
    Fingerprint hashing; Deceit and verity; Document classification; Document Image
    capture
    Licensed technology to industry
    Kyos Systems, Xact Data, Buffalo Computer Graphics, Lockheed Martin
    USPS 1999 Annual Report
    "USPS issued a contract to SUNY Buffalo to develop the handwriting recognition technology. ….. an estimated 400 million pieces of mail were automatically routed ….. saved the Postal Service at least $90 million in its first year in the field.
  • BIOMETRICS
    CUBS
  • Anthropometrics
    SKIN TONE
  • Fingerprint Indexing
    Enrollment Phase
    Searching Phase
  • CryptographyCancelable Biometrics
  • SensorsSkin spectroscopy and “liveness”
  • Fusion
  • Spoofing in Multimodal Systems
  • Facial Passwords
  • Q: The suspect is male
    1st Iteration
    Pruned Set
    Q: The suspect has a beard
    2nd Iteration
    Pruned Set
    Q: The suspect wears spectacles
    3rd Iteration
    SUSPECT
    Soft BiometricsSemantic Face Retrieval
    Original Set
  • Unobtrusive People Tracking
    Freedom from Continuous Surveillance
    RECOGNIZE
    REASON
    Evolutionary
    Recognition
    RETRIEVE
    Did Bob and Frank meet at the library yesterday?
    Given building map, occupants, schedules, sensor locations
  • Soft Biometrics
    Crash scene analysis
  • DOCUMENT RECOGNITION AND RETRIEVAL
    CUBS
  • Document Enhancement,
  • Multilingual Information Retrieval
    Q: Can we have a searchable archive of world’s newspapers?
    Q: All newspapers in any language translated to a common language?
    Central Repository
    Searchable database
    (digitized)
  • Smart EMR
  • Handwriting Forensics
  • ?
    ?
    ?
    Web SecurityVerify humanness
    MACHINES FAIL
    Synthetic handwriting generator poses questions in varying writing styles
    English!
    HUMANS SUCCEED
  • security
    CUBS
  • Soft BiometricsExpressions
    +
    =
    AU 6
    AU 12
    AU 6 & 12
    +
    +
    =
    AU 1
    AU 2
    AU 4
    AU 1, 2 & 4
    +
    +
    =
    AU 1
    AU 4
    AU 15
    AU 1, 4 & 15
    FACS
    FEAR
    HAPPY
    ANGER
    SAD
    FEAR
    HAPPY
    SAD
    Facial Expression Manifold
  • Gaze Tracking
  • Soft BiometricsEmotional States
  • Deceit and Verity
  • PEOPLE
    CUBS
  • PeopleFaculty
    Frank Bright
    SUNY Distinguished Professor
    Biological, Chemical Sensors
    VenuGovindaraju
    SUNY Distinguished Professor
    Machine Learning
    Director
    Mark Frank
    Professor
    Behavioral Sciences
    Raymond Fu
    Assistant Professor
    Computer Vision, Visualization
    Alex Cartwright
    Professor
    Spectroscopy, Photonics
    Bharat Jayaraman
    Professor
    Cyber Physical Systems
  • PeopleStaff
    • Philip Kilinskas
    Software Engineer
    Systems
    • RangaSetlur
    Principal Research Scientist
    Pattern Recognition Systems
    • Sergey Tulyakov
    Research Scientist
    Biometrics Fusion
    AmalHarb
    Communications Specialist
    Informatics, Psychology
    IfeomaNwogu
    Research Scientist
    Computer Vision, Ontology
    Zhixin Shi
    Senior Research Scientist
    Mathematics
  • PeopleCurrent PhD students; Research topics
    Xi Cheng Biometric Fusion
    Gaurav Kumar Mobile Device Apps
    UtkarshPoruwal People Tracking
    ChetanRamaiah Writer Identification
    Manavender Reddy Gesture Recognition
    Ricardo N. Rodriguez Multimodal Fusion
    ArtiShivaram Mobile Device Apps
    SafwanWshah Arabic Handwriting Recognition
    Daekeun You Medical Analytics
    Yingbou Zhou Image Segmentation
  • Ph.D. Alumni (22)
  • References
  • Contact
    VenuGovindaraju
    venu@cubs.buffalo.edu
    University at Buffalo
    State University of New York