Title :
Recognition of Hand-Sketched digital logic gates
Author :
Gul, Nuray ; Tora, Hakan
Author_Institution :
Elektrik - Elektron. Muhendisligi Bolumu, Atilim Univ., Ankara, Turkey
Abstract :
Hand-Sketched circuit recognition is a very useful tool in engineering area. Because most of the engineers prefer to design their circuits on the paper firstly. So, this can cause time wasting and some mistakes. In this study, which is based on the solving these kinds of problems, classification and recognition of the handwritten digital logic gates according to their complex and scalar FDs (Fourier Descriptors) is presented. Test results are obtained as 84.3 % accuracy rate for complex FDs, 98.6 % for scalar FDs. Then these results are compared and decided the optimum FDs type for this study.
Keywords :
handwritten character recognition; image classification; logic gates; Fourier descriptors; circuit design; complex FD accuracy rate; hand-sketched circuit recognition; hand-sketched digital logic gate recognition; handwritten digital logic gate classification; handwritten digital logic gate recognition; scalar FD accuracy rate; Accuracy; Character recognition; Computers; Handwriting recognition; Image recognition; Logic gates; MATLAB; Fourier Descriptors; boundaries of objects; image processing; object recognition;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7130236
