Text recognition in pcbs: an object character recognition (ocr) algorithm
International Journal of Development Research
Text recognition in pcbs: an object character recognition (ocr) algorithm
Received 17th April, 2020; Received in revised form 14th May, 2020; Accepted 11th June, 2020; Published online 30th July, 2020
Copyright © 2020, Yuzo Iano et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The Optical Character Recognition (OCR), together with another inspection techniques, is the mostly method utilized in the PCB industry. This work have as objective to identify text characters in five main PCBs template samples. Further, through a “Guide User Interface” (GUI) developed in MATLAB software, estimate the parameters as the quantity of detected texts, plot the graphic with the mean time average, and classifying the text character detected. Results showing the efficacy detection capacity of the OCR algorithm also are described in this work.
