Slide 1

Pattern Recognition
Ku-Yaw Chang
[email protected]
Assistant Professor, Department of
Computer Science and Information Engineering
Da-Yeh University


Slide 2

Course Information
Reference books
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2004/2/24

E. Gose and R. Johnsonbaugh, 1996,
“Pattern Recognition and Image Analysis,”
Prentice Hall
(ISBN: 0132364158)
M. Nadler and E. Smith, 1993,
“Pattern Recognition Engineering,”
John Wiley & Sons
(ISBN: 0471622931)
Pattern Recognition

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Slide 3

Course Information
Grading criteria
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Attendance: 20%
Roll call (10%)
Public expression (10%)

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Presentation: 30%
Final examination (alternative)

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Slide 4

Course Information
Grading criteria
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Project: 50%
Research diary (25%)
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Hand in/return every Tuesday (Optional)

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Possible public discussion in class

Documentation (15%)

Demonstration (10%)

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Slide 5

Course Information
Research diary
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Audience: yourself
Example
2/19
1. Search the applications of PR on the Internet.
character recognition; speech recognition; dynamic
patterns in handwriting characters
http://icr.uwaterloo.ca/courses/archive/sc981118.ht
ml
2. Character recognition seems to be very interesting.
3. Consider the possible ways of data input

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Slide 6

Course Information
Required background
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Programming language
C/C++ or Java

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Image processing

Using available resources/tools are
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Allowed
Encouraged
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Slide 7

Course Goal
Knowing how to find and use available
resources
Being able to complete a small-scale
program
Having solid experiences in pattern
recognition
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Slide 8

Optional Homework
Pattern Recognition
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What is it ?
What are its applications in our daily life ?
What kind of application you would like to
realize in your project ?

Hand in
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Paper submission
Public presentation (strongly preferred)
Mail your powerpoint file to me beforehand

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Slide 9

Assistant Wanted
Main jobs
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Prepare a projector before classes
Return a projector after classes

Additional points are rewarded.
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資工四A F8906035 古炫章

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Slide 10

Feedback
Do you have any
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Window programming experience?
C++ is preferred

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Image processing experience?

Do you work smart with a positive attitude?

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Slide 11

See you next time!

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