An Application of Text Detection and Recognition for Electronic Design Automation

Chih Chang Yu, Hsiao Wei Chen, Tzu Ying Chen, Po Hao Chen, Hsu Yung Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This work proposed an application of text detection and character recognition which is used for improving electronic design automation (EDA). Images used in this work contain colored regions and texts enclosed by an external boundary such as a circle or a polygon. Instead of using complicated methods, this work adopts several efficient image processing methods to extract true text regions followed by optical text recognition (OCR). Since the desired texts are not in normal form, we proposed some mechanisms to classify the characters into several types: normal, superscript, and subscript. In the experiments, the accuracy of judging the location information of block text can reach 93.36%. The proposed design can significantly improve the application of text detection and recognition in EDA.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728173993
DOIs
StatePublished - 28 Sep 2020
Event7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 - Taoyuan, Taiwan
Duration: 28 Sep 202030 Sep 2020

Publication series

Name2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020

Conference

Conference7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
Country/TerritoryTaiwan
CityTaoyuan
Period28/09/2030/09/20

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