script identification using matlab

Department of Computer Science & Engineering

Project Team Members:-

ANIMESH KUMAR MISHRA (1150110002)

RAJAT KUMAR (1150110018)

FAIZAN ALAM (1150110006)

Project Supervisor:- Mr. Sneh Pratap Singh

SCRIPT IDENTIFICATION USING MATLAB

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

Need of Script Identification

• OCRs are generally language dependent. • Document layout analysis is sometimes language dependent.

• For Indexing Documents.

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.

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.

MATLAB Algorithm for Script Identifications

• Spatial spread

• Gabor Filters

Spatial Spread of the word and Character Density

Gabor Filters (Directional energy distribution)

A Gabor function is a Gaussian modulated sinusoid. A complex 2-D Gabor function withorientation 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.

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.

Why we chose MATLAB project?

• To move to a real time environment.• For fast computation.• More Accuracy then any other languages or methods.

Future scope of the project

• With this approach the printed and handwritten characters are recognizable easily with more accuracy.

• To study the decoded system.

Conclusion

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

References1.) Web Resources

http://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 ResourcesDigital Image Processing ( A textbook by Rafael C. Gonzalez & Richard E. Woods)