This Presentation is all about the technology used while feasibility study of the project... " SCRIPT IDENTIFICATION USING MATLAB".

1. Department of Computer Science & Engineering
Project Team Members:-
ANIMESH KUMAR MISHRA (1150110002)
RAJAT KUMAR (1150110018)
FAIZAN ALAM (1150110006)
SCRIPT IDENTIFICATION USING
MATLAB
Project Supervisor:- Mr. Sneh Pratap Singh

2. Agenda
• Introduction to Script Identification Technique
• Need of Script Identification
• Introduction to MATLAB
• MATLAB Algorithms for Script Identification
• OCR (Optical Character Recognition)
• Why we choose MATLAB?
• Future Scope of the Project
• Conclusion
• References

4. Need of Script Identification
• OCRs are generally language dependent.
• Document layout analysis is sometimes language dependent.
• For Indexing Documents.

5. Why did we choose this project ?
• For the classification between different languages, mostly bilingual &
trilingual.
• Identification of Car Number plate.
• Smart Card Reader.
• To study the decoded documents within multiscript documents.

6.  MATLAB (matrix laboratory) is a multi-paradigm numerical
computing environment and fourth-generation programming
language. Developed by “ MATHWORKS”.
 MATLAB is widely used in academic and research institutions
as well as industrial enterprises.
 Provides the platform for image processing by using various
methods such as spatial domains, Gabor filters and projection
profile.

7. MATLAB Algorithm for Script
Identifications
• Spatial spread
• Gabor Filters

8. Spatial Spread of the word and Character
Density

9. Gabor Filters (Directional energy distribution)
A Gabor function is a Gaussian modulated sinusoid. A complex 2-D Gabor function with
orientation and centered at frequency F is given by:
The spatial spreads £x and £y of the Gaussian, in the x and y directions, are given by:
where ΩF and Ωθ are the frequency and the angular bandwidth, respectively.

10. OCR (Optical character Recognition)
• Electronic conversion of scanned or photographed images of
typewritten or printed text into machine-encoded/computer-readable
text.
Uses:
For data entry from some sort of original paper data source, whether
passport documents, invoices, bank statement, receipts, business card,
mail, or any number of printed records.

11. Why we chose MATLAB project?
• To move to a real time environment.
• For fast computation.
• More Accuracy then any other languages or methods.

12. Future scope of the project
• With this approach the printed and handwritten characters are
recognizable easily with more accuracy.
• To study the decoded system.

13. Conclusion
Since this technology has wide areas of
Application. And most of the Indian context are
still in infancy.

14. References
1.) Web Resources
h t tp://www.dca.fee.unicamp.br/~gomide/courses/CT720/artigos/ScriptRecognitionGhosh2009.pdf
http://shodhganga.inflibnet.ac.in/bitstream/10603/9849/11/11_chapter%206.pdf
http://www.sersc.org/journals/IJUNESST/vol6_no1/2.pdf
2.) Library Resources
Digital Image Processing ( A textbook by Rafael C. Gonzalez & Richard E. Woods)