Building a fast digit recognition solution with Python

import all of images in the specific folder, then use the pytesser module to convert the image to string, store it to csv file

Transcript

1. Building a fast digit recognition solution with Python Stephen Hsu http://about.me/cchhsu 2013.05.24
2. One day ……
3. @#$%^ #$%$@$ @#$%@# Sorry, I was wrong
5. My Goodness ….
6. Image Recognition
7. There is a python module named pytesser
9. Tesseract OCR  Introduction - Open source OCR engine - Started at the HP labs between 1985 and 1994 - C, C++ - Google used it for document scan project  Training - Images fonts of Benchmark tools are non-standard. - Training Process is fun !
10. Technologies  Common  Windows  Linux  Python 2.7  3rd party APP jTessBoxEditor  Tesseract OCR  Imaging Process  pytesser  PIL  datetime, time  platform  os, sys  csv  glob
11. Image Pre-Processing  Image Cropping - Crosshairs  Pixel Interpolation  20M Pixel  99M Pixel  Recognition rate from 42% to 99.99%  Binarization Processing  Lines Recognition
12. mage Pre-Processing Sample Original Image Image Cropping Pixel Interpolation
13. Extracted Text Then ...  Parser In: Number Out: Structured number  Store & Convert In: Structured Number Out: CSV File Sample_20130522214241.csv
14. Thank You