Optical Character Recognition (OCR)

The aim of OCR is to classify optical patterns corresponding to alphanumeric or other characters.

Description

The aim of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including segmentation, feature extraction, and classification. This program use Image Processing Toolbox to get it.

For more information, visit: http://www.matpic.com (spanish)
or http://www.eqbyte.com (english)

• Required Products: Image Processing Toolbox
• MATLAB release: MATLAB 7.1.0 (R14SP3)

Other Files

OCR/create_templates.m,
OCR/letters_numbers/,
OCR/letters_numbers/0.bmp,
OCR/letters_numbers/1.bmp,
OCR/letters_numbers/2.bmp,
OCR/letters_numbers/3.bmp,
OCR/letters_numbers/4.bmp,
OCR/letters_numbers/5.bmp,
OCR/letters_numbers/6.bmp,
OCR/letters_numbers/7.bmp,
OCR/letters_numbers/8.bmp,
OCR/letters_numbers/9.bmp,
OCR/letters_numbers/A.bmp,
OCR/letters_numbers/B.bmp,
OCR/letters_numbers/C.bmp,
OCR/letters_numbers/D.bmp,
OCR/letters_numbers/E.bmp,
OCR/letters_numbers/F.bmp,
OCR/letters_numbers/G.bmp,
OCR/letters_numbers/H.bmp,
OCR/letters_numbers/I.bmp,
OCR/letters_numbers/J.bmp,
OCR/letters_numbers/K.bmp,
OCR/letters_numbers/L.bmp,
OCR/letters_numbers/M.bmp,
OCR/letters_numbers/N.bmp,
OCR/letters_numbers/O.bmp,
OCR/letters_numbers/P.bmp,
OCR/letters_numbers/Q.bmp,
OCR/letters_numbers/R.bmp,
OCR/letters_numbers/S.bmp,
OCR/letters_numbers/T.bmp,
OCR/letters_numbers/Thumbs.db,
OCR/letters_numbers/U.bmp,
OCR/letters_numbers/V.bmp,
OCR/letters_numbers/W.bmp,
OCR/letters_numbers/X.bmp,
OCR/letters_numbers/Y.bmp,
OCR/letters_numbers/Z.bmp,
OCR/lines.m,
OCR/OCR.m,
OCR/read_letter.m,
OCR/readme.txt,
OCR/readme_leeme(esp).txt,
OCR/templates.mat,
OCR/TEST_1.JPG,
OCR/TEST_2.JPG,
OCR/TEST_3.JPG,
OCR/text.txt

[Austin K]

this is a very good work.
a very good logic and simple to understand .
yet there are lot of sectors which can improve.
and i dont know why it happens is that there is a error while loading the templates.
always shows that the file was corrupted.
any way best wishes and once again good work.

[Diego Barragán]

Hi, this is Diego Barragán, from Ecuador.

I appreciate your comments about OCR.

The error perhaps is due the version of MATLAB. I use version 7.1.0.246 (R14) Service Pack 3.

And other restriction of OCR is the size of letter. The size must be bigger or equal to 42 x 24 pixels.

Regards.

[John Smith]

Good application

[Vihang Patil]

Nice work. Tried creating my own images of numbers and names alike and found sometimes some letters being wrongly identified, especially I, 1, O,0,Q
Other than that nice work!

[Pradeep Mapitigama]

Dear Sir,
I'm doing handwritten english character recognition.Please guide me to progress this project.I'm doing this for fullfill the MSc.in computer science.
thanks lot.

[Tran Dinh Vuong]

Dear Sir, I'm doing handwritten english character recognition.Please guide me to progress this project. thanks lot.

[raghav khanna]

can u tell me wat feature algorithm r u using??

[Paul Paul]

 

[eklil alwrd]

 

[Bilal KONUK]

hi author
i am using matlab 6.5 version. Can i work your project my matlab?

[minnal sagi]

fine

[manish arora]

these files really works..
result not being 100%..

[firas aakroum]

?????

[ved vrath]

cz

[athi rayan]

hello sir please give me as a compltet report in ocr

[Rushmi]

It works great.But for images with dots or small patches the result is ambiguous.If the code can eliminate this problem,(not recognizing non characters) it will be a good algorithm for character recognition.

[yusor]

Anybody can help me? My FYP is about converting an image to text. Image may be frim newpaper (anywhere) and should be converted into text and saved into Doc. or pdf but it must retain the oiginal format.

Thank u,
Yusser

[karthik sarma]

this program is not working for other image files. i created some image files using paint in ariel and times new roman font. the program failed to give correct result

[Cong Zhou]

 

[Cong Zhou]

good job!