How to run efficiently on more pages (>1 mils) with Tesseract 4.0 LSTM?

[Wang Zhimin]

Dear community,

Currently I wanna OCR on a relative large image data sets (more than 1 million images). Is there a way to reduce the computational time, i.e. cost $$$$$.

My setting is 280dpi A4 page, oem will be LSTM. 

I cannot really find any similar topic and I think the options could be limited. The following will be some points I got from the GitHub and here:

1) Build tesseract with --disable-openmp

2) Build tesseract with --disable-static and CXXFLAGS=-Wall -g O2

I plan to run it on cloud (AWS, M$, Google) with docker. Most likely on Dual Core Instance but if 4 cores will help then I will definitely look into that.

Have not tried to implement the C++ function coz I am not sure about the performance gain. I think the on/off initialisation from calling Tesseract for each image may slow down the whole process. Do you all think implementing the process with C++ will help my case? 

Thank you in advance. 

[ShreeDevi Kumar]

also see https://groups.google.com/forum/#!topic/tesseract-ocr/5CSIYkba5Dc

ShreeDevi
____________________________________________________________
भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com

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