venu govindaraju dept of computer science engineering university at buffalo go vind@cse buffalo edu l.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Venu Govindaraju Dept. of Computer Science & Engineering University at Buffalo go vind@cse.buffalo PowerPoint Presentation
Download Presentation
Venu Govindaraju Dept. of Computer Science & Engineering University at Buffalo go vind@cse.buffalo

Loading in 2 Seconds...

play fullscreen
1 / 21

Venu Govindaraju Dept. of Computer Science & Engineering University at Buffalo go vind@cse.buffalo - PowerPoint PPT Presentation


  • 300 Views
  • Uploaded on

Pattern Analysis and Machine Intelligence Applications. Venu Govindaraju Dept. of Computer Science & Engineering University at Buffalo go vind@cse.buffalo.edu. Research Projects. Document Image Analysis and Recognition Interactive Recognition NSF: 2003-04 Digital Libraries NSF: 2002-04

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

Venu Govindaraju Dept. of Computer Science & Engineering University at Buffalo go vind@cse.buffalo


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
    Presentation Transcript
    1. Pattern Analysis and Machine Intelligence Applications Venu Govindaraju Dept. of Computer Science & Engineering University at Buffalo govind@cse.buffalo.edu

    2. Research Projects • Document Image Analysis and Recognition • Interactive Recognition NSF: 2003-04 • Digital Libraries NSF: 2002-04 • Public Health Surveillance NSF: 2003-04 • Unified Biometrics and Sensors • Biometric Systems NYSTAR: 2003-0 • Fingerprint Recognition Ultra-Scan Inc: 2002-04 • Hand Geometry Infinite Group Inc : 2003-04 • Cancelable BiometricsCUBRC: 2003-04 • Patho-biometrics AFMIC: 2003-04

    3. Document Analysis and Recognition Goal: Everything that can be done with symbolically encoded datacan also be done with scanned hardcopy documents.   Searching document images, presenting them legibly,navigating within and among them.

    4. I Interactive Recognition Models Ranked Lexicon Context PhD Student: Vemulapati Ramanaprasad

    5. I Interactive Recognition Models Ranked Lexicon Context

    6. Grapheme Models

    7. Structural Features, BAG End Loops Junction End Loop Turns

    8. Continuous Attributes

    9. II Multilingual Digital Libraries • South Asian Languages • Hindi (Devanagari script), Urdu (Arabic Script), Telugu • Covers a billion people! • Script discrimination • Multilingual querying PhD Students: Faisal Farooq, Surya Kompalli

    10. Digital Library application Document Truth Grayscale Images Manual Truthing Multi-lingual Query Panel english OCR design Semi-Automatic Annotation Script Analysis Multilingual Digital Archives

    11. II Public Health Surveillance Thousands are filed a day. Passed from EMS to Hospital. PCR Purpose: • Medical care/diagnosis • Legal Documentation • Quality Assurance • EMS Abbreviations • COPD Chronic Obstructive Pulmonary Disease • CHF Congestive Heart Failure • D/S Dextrose in Saline • PID Pelvic Inflammatory Disease • GSW Gunshot Wound • NKA No known allergies • KVO Keep vein open • NaCL Sodium Chloride PhD Student: Robert Milewski

    12. Medical Text Recognition and Data Mining Check box recognition, Numeral recognition Large lexicons, partial recognition, abbreviations ChronicObstructive PulmonaryDisease”: CRC-OBV-UOARY-DISAE Contextual knowledge, constraints and lexicon reduction

    13. Unified Biometrics and Sensors Biometrics are automated methods of identifying a person or verifying the identity of a person based on a physiological or behavioral characteristic.

    14. I UB STARS: Unobtrusive Biometric Sense Transmit Assess and Respond Systems Biometrics (Pattern Recognition & Analysis) Govindaraju Light Sources (Materials Development & Characterization) Analog VLSI (Smart Systems) Packaged Device Cartwright (EE) Titus (EE) Sensors (Materials Development) Bright (Chem) Cartwright &

    15. II. Fingerprint Analysis and Recognition PhD Students: Tsai-yang Jea, Chaohong Wu

    16. Partial matching ? Latent partial fingerprints

    17. III Hand Geometry Hand geometry biometrics and fingerprints

    18. IV Cancelable Biometrics • Intentional, repeatable distortion of biometric signal based on a chosen transform • One-way non-invertible mapping using another biometric data giving layered security • Transform minutiae points on fingerprints using signature features PhD Student: Sergey Tulyakov

    19. V Animal Biometrics Visible Symptoms of FMD • Straying from the herd • Swaying gait, sometimes with high stepping of the feet • Difficulties in walking or getting up • Loss of weight, milk yield

    20. Original image Animals Empty field Texture Analysis

    21. Other Projects • Signature Verification • HanSheng Lei (PhD) Srinivas Palla (MS) • Devanagari OCR • Swapnil Khedekar (MS) • Biometric Data Representation • Viraj Chavan (MS) • Web Security and CAPTCHA • Sumit Manocha (MS) • Video HWR • Sijun Kung (PhD)