Embedded System Based Raspberry Pi 4 for Text Detection and Recognition  

作　　者：Turki M.Alanazi 

机构地区：[1]Department of Electrical Engineering,College of Engineering,Jouf University,Sakaka,Saudi Arabia

出　　处：《Intelligent Automation & Soft Computing》2023年第6期3343-3354,共12页智能自动化与软计算（英文）

基　　金：This work was funded by the Deanship of Scientific Research at Jouf University(Kingdom of Saudi Arabia)under Grant No.DSR-2021-02-0392.

摘　　要：Detecting and recognizing text from natural scene images presents a challenge because the image quality depends on the conditions in which the image is captured,such as viewing angles,blurring,sensor noise,etc.However,in this paper,a prototype for text detection and recognition from natural scene images is proposed.This prototype is based on the Raspberry Pi 4 and the Universal Serial Bus(USB)camera and embedded our text detection and recognition model,which was developed using the Python language.Our model is based on the deep learning text detector model through the Efficient and Accurate Scene Text Detec-tor(EAST)model for text localization and detection and the Tesseract-OCR,which is used as an Optical Character Recognition(OCR)engine for text recog-nition.Our prototype is controlled by the Virtual Network Computing(VNC)tool through a computer via a wireless connection.The experiment results show that the recognition rate for the captured image through the camera by our prototype can reach 99.75%with low computational complexity.Furthermore,our proto-type is more performant than the Tesseract software in terms of the recognition rate.Besides,it provides the same performance in terms of the recognition rate with a huge decrease in the execution time by an average of 89%compared to the EasyOCR software on the Raspberry Pi 4 board.

关 键 词：Text detection text recognition OCR engine natural scene images Raspberry Pi USB camera 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]