Handwritting recognition using Neural Networks

Transcript

1. https://gitlab.com/gnstudenko/handwriting-recognition Adriana Fernandez George Studenko Leo Ochoa
2. https://gitlab.com/gnstudenko/handwriting-recognition EMNIST
3. Benefits of OCR • Searchability • Editability • Accessibility • Storability • Backups • Translatability Digital Libraries Banking Cheque Healthcare Legal Docs https://gitlab.com/gnstudenko/handwriting-recognition
4. > 99% (10 classes) > 87% (62 classes) > 92% (47 classes) Our numbers are: https://gitlab.com/gnstudenko/handwriting-recognition
5. https://gitlab.com/gnstudenko/handwriting-recognition
6. https://gitlab.com/gnstudenko/handwriting-recognition Classes Distribution (Training) Classes Distribution (Validation)
8. https://gitlab.com/gnstudenko/handwriting-recognition
9. → → → → → → → → → → →
10. Original Image Grayscale Adaptive Threshold Dilate Pixels Split lines Invert threshold Final Result Split chars, make them square https://gitlab.com/gnstudenko/handwriting-recognition
11. B a r C e F D n Q A I Q a t I T d Q Y S https://gitlab.com/gnstudenko/handwriting-recognition
12. https://gitlab.com/gnstudenko/handwriting-recognition B a r C e L Q n a
13. H W R H 0 l a https://gitlab.com/gnstudenko/handwriting-recognition
14. T H A N K 5 https://gitlab.com/gnstudenko/handwriting-recognition
15. Q U E S T 1 Q N S https://gitlab.com/gnstudenko/handwriting-recognition
16. https://gitlab.com/gnstudenko/handwriting-recognition
17. https://gitlab.com/gnstudenko/handwriting-recognition Adriana Fernandez George Studenko Leo Ochoa
18. https://gitlab.com/gnstudenko/handwriting-recognition
19. DEMO TIME