Tesseract Optical Character Recognition (OCR) Engine of Tesco Receipts (Ep.1)

01-Tesco-Receipt-R-Tesseract-Implementation.R

##############################################################################
# Tesseract Optical Character Recognition (OCR) Engine of Tesco Receipts (Ep.1)
# Author: @Kyle Akepanidtaworn
# Source Code: Using the Tesseract OCR engine in R (2018)
# Created Date: 5/19/2019
##############################################################################
# install.packages("tesseract")
library(tesseract)
eng <- tesseract("eng")

##############################################################################
# Call OCR engine to use with my Tesco receipt
# Extract texts from images
##############################################################################
text <- tesseract::ocr("01-Tesco-Receipt-Image.jpg", engine = eng)
cat(text)
'
\
II-..
BICESTER 2 0845 677 9063
Q
FRESH MILK 0.81
S/BERRV CONSV 0.96
VIC PLUM CON 1.65
B/BERRV CONSVE 1.38
188 LOAF 0.70
ORG AVOCADO‘S 1.69
BLUEBERRIES 1.49
CARROTS 1K0 059
ORG SWT PEPPRS 1.69
ONION SHALLOTS 0.63
AUBERGINES
0.290 kg 0 £2.99/ kg 0.87
GRAPE N.SDLESS
0.595 kg 0 2248/ kg 1.48
SUB’TOTAL 13.94
MULTIBUY SAVINGS
PREPACKED PRODUCE 5 FOR 4 *0.59
TOTAL SAVINGS ,059
TOTAL TO PM 13.35
CASH 20.00
CHANGE DUE 6.65
SIGN UP FOR CLUBCARD
Vnu coqu have earned 13
Clubcard pmnts in this transactwon
‘ ‘IHIIIIIIlllllllllllllllllHllllllll
HIIHIIIIMIIHII !
24/05/05 13:52 2113 007 1024 1048
'

##############################################################################
# The ocr_data() function returns all words in the image along 
# with a bounding box and confidence rate.
##############################################################################
results <- tesseract::ocr_data("01-Tesco-Receipt-Image.jpg", engine = eng)
results
'
# A tibble: 100 x 3
   word     confidence bbox           
<chr>         <dbl> <chr>          
1 "\\"           65.5 0,0,1,17       
2 II-..          68.8 141,150,308,160
3 BICESTER       74.8 118,164,193,179
4 2              82.6 204,165,212,179
5 0845           70.4 224,164,260,179
6 677            80.8 272,164,299,179
7 9063           76.0 310,164,347,179
8 Q              60.2 386,224,403,238
9 FRESH          79.6 49,244,96,259  
10 MILK           68.8 107,244,144,258
# ... with 90 more rows
'