Using the digital camera on any mobile device, the consumer could easily take a high resolution image scan of any small document e.g. receipts.
Ensemble of AI, Machine Learning, Computer Vision, Image Processing, and OCR algorithms Extract useful data from the image scan.
![](https://compdatanotes.com/wp-content/uploads/2019/11/receipt1.jpeg)
Highlighted Bouding-Boxes appear to identify and extract a full line.
![](https://compdatanotes.com/wp-content/uploads/2019/11/receipt1_boxed.jpeg)
Separate algorithm extracts bounding-box for the barcode.
![](https://compdatanotes.com/wp-content/uploads/2019/11/receipt1_barcode.jpeg)
Extractions are placed into a database for processing by other applications or human operator if need be.
Note the yellow highlighted numbers are the confidence levels for accuracy of the extractions converted into ASCII text.
![](https://compdatanotes.com/wp-content/uploads/2019/11/receipt1_extract.jpeg)
Issues
Generally speaking placing the receipt on a flat well lit surface should suffice, but the algorithms are able to extract from lesser requirements
![](https://compdatanotes.com/wp-content/uploads/2019/11/receipt5.jpeg)
![](https://compdatanotes.com/wp-content/uploads/2019/11/receipt5_boxed.jpeg)
![](https://compdatanotes.com/wp-content/uploads/2019/11/receipt5_extract.jpeg)
Other objects e.g. fingers may appear in the original image scan, nonetheless the algorithms manage the extraction quite well.
![](https://compdatanotes.com/wp-content/uploads/2019/11/receipt3.jpeg)
![](https://compdatanotes.com/wp-content/uploads/2019/11/receipt3_boxed.jpeg)
![](https://compdatanotes.com/wp-content/uploads/2019/11/receipt3_extract.jpeg)
Machine Learning algorithm Nearest Neighbor used on the color space of the image scan to reduce the blue-ish tint. Generally mos discolorations and non-participating colors are filtered out.
![](https://compdatanotes.com/wp-content/uploads/2019/11/receipt2.jpeg)
![](https://compdatanotes.com/wp-content/uploads/2019/11/receipt2_boxed.jpeg)
![](https://compdatanotes.com/wp-content/uploads/2019/11/receipt2_extract.jpeg)