2. OCR Objective
Objective
Applications
Block Diagram
To recognize
Algorithms alphabetic letters,
Template Matching
Library Extraction
numbers or
Preprocessing other characters
Feature Extraction
Recognition which are in the form of digital
Preprocessing
images,
Feature Extraction
Recognition without any human intervention
Economical Value
Challenges
References
3. OCR Applications
Objective
Applications
Block Diagram Computer vision - Automated guided vehicles
(AGV)
Algorithms
Template Matching ALPR (Automatic License Plate Recognition)
Library Extraction
Preprocessing Digital libraries
Feature Extraction
Recognition Personal digital assistants (PDAs)
Preprocessing
Feature Extraction Windows 7
Recognition
Economical Value Why not even in your Cellphones also
Challenges
References
18. OCR Template matching >Recognition >Preprocessing
Objective
Applications
Block Diagram
Algorithms Threshold is
Template Matching calculated using
Library Extraction Otsu's method,
Preprocessing which chooses the
Feature Extraction threshold to
Recognition minimize
Preprocessing the intraclass
Feature Extraction variance of the
Recognition thresholded black
Economical Value and white pixels.
Challenges
References
19. OCR Template matching >Recognition >Preprocessing
Objective Noise is filtered
Applications out by using
Block Diagram standard methods
Algorithms like
Template Matching Dilation
Library Extraction imdilate();
Preprocessing Erosion
Feature Extraction Imerode();
Recognition Opening
Preprocessing Imopen();
Feature Extraction Closing
Recognition Imclose();
Economical Value
Challenges
References
20. OCR Template matching >Recognition >Feature Extraction
Objective • Individual lines
Applications are isolated
Block Diagram
Algorithms • Individual
Template Matching Characters are
Library Extraction identified
Preprocessing
Feature Extraction • And finally
Recognition Compared with all
Preprocessing the Template
Feature Extraction images
Recognition (Correlation)
Economical Value
Challenges
References
22. OCR Template matching >Recognition >Recognition
Objective
5
Applications
Block Diagram
Algorithms S
Template Matching D O U 8 0
Library Extraction B E G 6
Preprocessing C J 3 9
Feature Extraction
L
H
Recognition
F
Preprocessing I Z
N Q
Feature Extraction W
Recognition M P R
K T 1 2
V Y
Economical Value 4 7
Challenges X
A
References
24. OCR Economic Value
Objective
Applications Proprietary software
Block Diagram
• Expervision
Algorithms
Template Matching
• FineReader
Library Extraction • Microsoft Office Document Imaging
Preprocessing
• OmniPage
Feature Extraction
Recognition
• Readiris
Preprocessing • ReadSoft
Feature Extraction
• SmartScore
Recognition
Economical Value • And many more Mobile manufacturers
Challenges
References
25. OCR Challenges >Accuracy
Objective
Applications
Block Diagram
Algorithms AA A A A A A A A A
Template Matching
Library Extraction
A
Preprocessing
Feature Extraction
BB B B B B B B B B B
Recognition
Preprocessing
DD D D D D D D D D D
Feature Extraction
Recognition
Economical Value
Challenges
References
28. OCR References
Objective • Digital Image Processing
– Rafael C. Gonzalez & Richard E. Woods
Applications
Block Diagram
Algorithms
Template Matching • Handbook of Character Recognition
Library Extraction and Document Image Analysis
Preprocessing – H. Bunke & P. S. P. Wang
Feature Extraction
Recognition
Preprocessing • Image Recognition and Classification
Feature Extraction (Optical Science and Engineering)
Recognition – Bahram Javidi
Economical Value
Challenges
References
