1. PATTERN RECOGNITION Talal A. Alsubaie SFDA

7. EXAMPLES OF APPLICATIONS

8. THE STATISTICAL WAY

9. GRID BY GRID COMPARISON Grid by Grid Comparison A A B

10. GRID BY GRID COMPARISON 0 0 1 0 0 0 1 0 0 1 1 1 1 0 0 1 1 0 0 1 No of Mismatch= 3 A A B 0 1 1 0 0 1 1 0 0 1 1 0 1 0 0 1 1 0 0 1

11. GRID BY GRID COMPARISON Grid by Grid Comparison A A B

12. GRID BY GRID COMPARISON 0 0 1 0 0 0 1 0 0 1 1 1 1 0 0 1 1 0 0 1 1 1 1 0 0 1 0 1 0 1 1 1 0 1 0 1 1 1 1 0 No of Mismatch= 9 A A B

18. PATTERN RECOGNITION PROCESS (CONT.) Post- processing Classification Feature Extraction Segmentation Sensing input Decision

22. CASE STUDY (CONT.) Classification Feature Extraction Pre-processing “ Sea Bass” “ Salmon”

26. FEATURE SELECTION “ Good” features “ Bad” features

27. DECISION BOUNDARY

28. DECISION BOUNDARY (CONT.) More complex model result more complex boundary

29. DECISION BOUNDARY (CONT.) Different criteria lead to different decision boundaries

33. THE DESIGN CYCLE

34. DEMO

38. VIDEO DEMO

39. Q & A

40. THANK YOU