A DEEP LEARNING SEGMENTATION APPROACH FOR AUTOMATIC INVOICE IDENTIFICATION

2019

Master's thesis Information- and communication technology IKT590 - University of Agder 2019 The research on object detection has come a long way and has in recent years become so efficient andreliable that we see many practical applications in simple detection of objects in pictures to advancesegmentation in video recordings. Despite its popularity, there are no de facto approach availableand several methods are competing to be superior.This thesis focuses on object detection in photos where the desired object is letters and numbers, andthe photo is a PDF-file of an invoice without any use of OCR and any knowledge of the layout. Theresearch compares Tensorflow’s Object Detection API with SS…