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Using Tesseract OCR with Python

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Re: Using Tesseract OCR with Python

#22

Post by zionsrogue »

kumartanmay wrote: post #9

We are trying automate the entire loan application and processing. So, this involved a lot of character recognition stuff as our target group have their financial documents as hard copies. Helping them autofill their information would make their task easier as well as avoid human errors while typing. So, after reading a few articles, I first designed a OCR using google’s OCR library tesseract. The classifier produced…

Adrian here, author of the PyImageSearch blog. I'll add doing a tutorial on cheque recognition (at least the routing and account numbers) to my queue. Thanks for the great suggestion.

Re: Using Tesseract OCR with Python

#23

Post by piker »

kumartanmay wrote: post #9

We are trying automate the entire loan application and processing. So, this involved a lot of character recognition stuff as our target group have their financial documents as hard copies. Helping them autofill their information would make their task easier as well as avoid human errors while typing. So, after reading a few articles, I first designed a OCR using google’s OCR library tesseract. The classifier produced…

One possible alternative solution is to chop the image into smaller images (with something like ImageMagick) based on each value's likely location in the document, then OCR those. You get a confidence interval with tesseract, so you can iterate over possible templates (or shrink/expand crops) until you get an [edit: aggregate] interval you're comfortable with.

Re: Using Tesseract OCR with Python

#24

Post by brightball »

beagle3 wrote: post #13

Teaseract is ok printed material that's neatly organized, but other than that it seems the only other programmatic ocr is google cloud vision. It's a hundred times better, but unfortunately I need to OCR documents I can't contractual show the mighty G

I thought I remembered seeing that you could read documents with IBM's Watson APIs? Anybody tried that?

Re: Using Tesseract OCR with Python

#25

Post by edoloughlin »

jk2323 wrote: post #21

I know Tesseract is OS but when I tried it, it was nearly useless. I use Abbyy with WINE. But a native Linux shell version of Abbyy is available: http://www.ocr4linux.com/en:start

I've found Tesseract to be really good for, e.g., bank/cc statements, as long as I scan at 600dpi.

Re: Using Tesseract OCR with Python

#26

Post by holtalanm »

kumartanmay wrote: post #9

We are trying automate the entire loan application and processing. So, this involved a lot of character recognition stuff as our target group have their financial documents as hard copies. Helping them autofill their information would make their task easier as well as avoid human errors while typing. So, after reading a few articles, I first designed a OCR using google’s OCR library tesseract. The classifier produced…

if you are thinking of using OCR for this, i would suggest SikiliX. It is a Tesseract-based automation tool that is written in Java, but has Jython bindings. I have used it before, and loved it.

Re: Using Tesseract OCR with Python

#28

Post by scardine »

I'm combining opencv and pytesseract in order to process some scanned forms. Doing this I was able to link 70k forms to a database previously filled by professional typists. Now I have a huge data set I can use to train ML algorithms, I'm experimenting with several of them.

I have no formal training in CV, so my impression is that recognition is relatively easy, the hard thing is the preprocessing need in order to normalize images.

Re: Using Tesseract OCR with Python

#29

Post by rhlala »

I used tesseract/pytesseract, almost perfect pre processing using blur, otsu etc, But for get good results, you need big images, 300 dpi+ are needed, The big images make it is too slow, Maybe i should have try segmentation the caracters before using the ocr, I endeup making my ocr from scratch, using averages etc, and it is almost instant, and i am happy with it.
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