Deep-learning-based Extraction of Electronic Component Parameters from Datasheets
Tzung‐Pei Hong, Hsiu-Wei Chiu, Shih‐Feng Huang, Yi-Ting Chen · 2021 IEEE International Conference on Big Data (Big Data) · 2021
In this paper, we propose an automatic extraction process of the dimension parameters shown in three-view drawings. It is divided into two stages. In the first stage, we detect three-view drawings in datasheets and find out the text regions containing the parameters in the drawings by deep learning. We then recognize the values in these regions. In the second stage, we design two algorithms, based on k-nearest neighbors (k-NN) and statistical evaluation, respectively, to match the digitized parameters with the values. We also conduct experiments to show the high accuracy in the two stages.