Segmentation and Recognition of Electronic Components in Hand-Drawn Circuit Diagrams

Authors

DOI:

https://doi.org/10.4108/eai.13-4-2018.154478

Keywords:

Hand-Drawn Circuit Diagrams, HOG Descriptor, SVM

Abstract

This paper presents an effective technique for segmentation and recognition of electronic components from hand-drawn circuit diagrams. Segmentation is carried out by using a series of morphological operations on the binarized images of circuits and discriminating between three categories of components (closed shape, components with connected lines, disconnected components). Each segmented component is characterized by computing the Histogram of Oriented Gradients (HOG) descriptor while classification is carried out using Support Vector Machine (SVM). The system is evaluated on 100 hand-drawn circuit diagrams with a total of 350 components. A segmentation accuracy of 87.7% while a classification rate of 92% is realized demonstrating the effectiveness of the proposed technique.

Downloads

Published

13-04-2018

How to Cite

1.
Moetesum M, Younus SW, Ali Warsi M, Siddiqi I. Segmentation and Recognition of Electronic Components in Hand-Drawn Circuit Diagrams. EAI Endorsed Scal Inf Syst [Internet]. 2018 Apr. 13 [cited 2024 Nov. 25];5(16):e12. Available from: https://publications.eai.eu/index.php/sis/article/view/2220