Transcript Pattern Analysis & Machine Intelligence

Pattern Analysis and Machine
Intelligence Applications
Venu Govindaraju
Dept. of Computer Science &
Engineering
University at Buffalo
[email protected]
Research Projects
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Document Image Analysis and Recognition
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Interactive Recognition
Digital Libraries
Public Health Surveillance
NSF: 2003-04
NSF: 2002-04
NSF: 2003-04
Unified Biometrics and Sensors
Biometric Systems
Fingerprint Recognition
Hand Geometry
Cancelable Biometrics
Patho-biometrics
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NYSTAR: 2003-0
Ultra-Scan Inc: 2002-04
Infinite Group Inc : 2003-04
CUBRC: 2003-04
AFMIC: 2003-04
Document Analysis and
Recognition
Goal: Everything that can be done with symbolically
encoded data can also be done with scanned hardcopy
documents.
Searching document images, presenting them legibly,
navigating within and among them.
I Interactive Recognition Models
Context
PhD Student: Vemulapati Ramanaprasad
Ranked
Lexicon
I Interactive Recognition Models
Context
Ranked
Lexicon
Grapheme Models
Structural Features, BAG
End
Loops
Junction
End
Turns
Loop
Continuous Attributes
graphe
me
pos
orientation
Down
cusp
3.0
-90o
Up loop
Down arc
angle
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
Digital Library application
OCR design
Grayscale Images
Manual Truthing
Document
Truth
Script Analysis
Multi-lingual
Query Panel
english
Multilingual
Digital
Archives
Semi-Automatic
Annotation
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
Medical Text Recognition and Data Mining
Check box recognition, Numeral recognition
Large lexicons, partial recognition, abbreviations
Chronic Obstructive Pulmonary Disease”: CRC-OBV-UOARY-DISAE
Contextual knowledge, constraints and lexicon reduction
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.
I UB STARS:
Unobtrusive Biometric Sense Transmit Assess and Respond Systems
Biometrics
(Pattern
Recognition &
Analysis)
Govindaraju
Light Sources
(Materials
Development &
Characterization)
Packaged
Device
Analog VLSI
(Smart Systems)
Titus (EE)
Cartwright (EE)
Sensors
(Materials
Development)
Bright (Chem)
Cartwright &
II. Fingerprint Analysis and Recognition
PhD Students: Tsai-yang Jea, Chaohong Wu
Partial matching
100
90
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50
40
30
20
10
0
CorrectRate
ErrorRate
Rate
?
0
10
20
30
40
50
60
70
80
90 100
Size (%)
Threshold 0.35
Rate
Latent partial fingerprints
100
90
80
70
60
50
40
30
20
10
0
CorrectRate
ErrorRate
RejectRate
0
10
20
30
40
50
Size(%)
60
70
80
90
100
III Hand Geometry
Hand geometry biometrics
and fingerprints
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
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
Texture Analysis
Original image
Empty field
Animals
Other Projects
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Signature Verification
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Devanagari OCR
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Viraj Chavan (MS)
Web Security and CAPTCHA
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Swapnil Khedekar (MS)
Biometric Data Representation
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HanSheng Lei (PhD) Srinivas Palla (MS)
Sumit Manocha (MS)
Video HWR
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Sijun Kung (PhD)