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

• Main Authors: Momina Moetesum, Syed Waqar Younus, Muhammad Ali Warsi, Imran Siddiqi
• Format: Article
• Language: English
• Published: European Alliance for Innovation (EAI) 2018-04-01
• Series: EAI Endorsed Transactions on Scalable Information Systems
• Subjects: Hand-Drawn Circuit Diagrams; HOG Descriptor; SVM
• Online Access: http://eudl.eu/doi/10.4108/eai.13-4-2018.154478

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.