Currency recognition using EAST for text detection and tesseract OCR for text recognition

Eman S. Abass; Abd-Elnaser Fawzy Mohamed; Ayman Amer; Mohamed Hafez; Ahmed Solyman; Mohamed Fawzy

doi:10.1109/EICEEAI60672.2023.10590444

Currency recognition using EAST for text detection and tesseract OCR for text recognition

Eman S. Abass, Abd-Elnaser Fawzy Mohamed, Ayman Amer, Mohamed Hafez, Ahmed Solyman, Mohamed Fawzy

Electrical Power Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

23 Downloads (Pure)

Abstract

This research study presents a novel approach for detecting currency utilizing cutting-edge technologies such as the Efficient and Accurate Scene Text (EAST) model and Tesseract Optical Character Recognition (OCR). The EAST model is employed to identify text within scenes, whereas Tesseract OCR is utilized to effectively recognize and classify monetary units in real-time video stream input. The empirical results demonstrate the efficacy of the suggested methodology in discerning and classifying distinct monetary units, a pivotal necessity in diverse financial scenarios. The amalgamation of the EAST model with OCR can augment money identification technology, strengthening the dependability of financial services such as ATM operation and currency conversion and ultimately elevating consumer happiness during financial transactions.

Original language	English
Title of host publication	2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)
Publisher	IEEE
Number of pages	9
ISBN (Electronic)	9798350373363
ISBN (Print)	9798350373370
DOIs	https://doi.org/10.1109/EICEEAI60672.2023.10590444
Publication status	Published - 18 Jul 2024
Event	2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence - Zarqa, Jordan Duration: 27 Dec 2023 → 28 Dec 2023 https://eiceeai.zu.edu.jo/ (Link to conference website)

Publication series

Name	International Engineering Conference on Electrical, Energy, and Artificial Intelligence
Publisher	IEEE
ISSN (Print)	None

Conference

Conference	2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence
Abbreviated title	EICEEAI 2023
Country/Territory	Jordan
City	Zarqa
Period	27/12/23 → 28/12/23
Internet address	https://eiceeai.zu.edu.jo/ (Link to conference website)

Keywords

Currency identification
Currency recognition
EAST model
Tesseract OCR
Text detection

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Health Informatics

Documents and Links

10.1109/EICEEAI60672.2023.10590444

Author accepted manuscriptAuthor accepted manuscript, 412 KBLicence: CC BY

Cite this

Abass, E. S., Mohamed, A.-E. F., Amer, A., Hafez, M., Solyman, A., & Fawzy, M. (2024). Currency recognition using EAST for text detection and tesseract OCR for text recognition. In 2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI) (International Engineering Conference on Electrical, Energy, and Artificial Intelligence). IEEE. https://doi.org/10.1109/EICEEAI60672.2023.10590444

@inproceedings{bb7197b95f48441785f9f8b4f9f6a4c3,

title = "Currency recognition using EAST for text detection and tesseract OCR for text recognition",

abstract = "This research study presents a novel approach for detecting currency utilizing cutting-edge technologies such as the Efficient and Accurate Scene Text (EAST) model and Tesseract Optical Character Recognition (OCR). The EAST model is employed to identify text within scenes, whereas Tesseract OCR is utilized to effectively recognize and classify monetary units in real-time video stream input. The empirical results demonstrate the efficacy of the suggested methodology in discerning and classifying distinct monetary units, a pivotal necessity in diverse financial scenarios. The amalgamation of the EAST model with OCR can augment money identification technology, strengthening the dependability of financial services such as ATM operation and currency conversion and ultimately elevating consumer happiness during financial transactions.",

keywords = "Currency identification, Currency recognition, EAST model, Tesseract OCR, Text detection",

author = "Abass, {Eman S.} and Mohamed, {Abd-Elnaser Fawzy} and Ayman Amer and Mohamed Hafez and Ahmed Solyman and Mohamed Fawzy",

year = "2024",

month = jul,

day = "18",

doi = "10.1109/EICEEAI60672.2023.10590444",

language = "English",

isbn = "9798350373370",

series = "International Engineering Conference on Electrical, Energy, and Artificial Intelligence",

publisher = "IEEE",

booktitle = "2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)",

address = "United States",

note = "2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2023 ; Conference date: 27-12-2023 Through 28-12-2023",

url = "https://eiceeai.zu.edu.jo/",

}

Abass, ES, Mohamed, A-EF, Amer, A, Hafez, M, Solyman, A & Fawzy, M 2024, Currency recognition using EAST for text detection and tesseract OCR for text recognition. in 2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI). International Engineering Conference on Electrical, Energy, and Artificial Intelligence, IEEE, 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence, Zarqa, Jordan, 27/12/23. https://doi.org/10.1109/EICEEAI60672.2023.10590444

Currency recognition using EAST for text detection and tesseract OCR for text recognition. / Abass, Eman S.; Mohamed, Abd-Elnaser Fawzy; Amer, Ayman et al.
2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI). IEEE, 2024. (International Engineering Conference on Electrical, Energy, and Artificial Intelligence).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Currency recognition using EAST for text detection and tesseract OCR for text recognition

AU - Abass, Eman S.

AU - Mohamed, Abd-Elnaser Fawzy

AU - Amer, Ayman

AU - Hafez, Mohamed

AU - Solyman, Ahmed

AU - Fawzy, Mohamed

PY - 2024/7/18

Y1 - 2024/7/18

N2 - This research study presents a novel approach for detecting currency utilizing cutting-edge technologies such as the Efficient and Accurate Scene Text (EAST) model and Tesseract Optical Character Recognition (OCR). The EAST model is employed to identify text within scenes, whereas Tesseract OCR is utilized to effectively recognize and classify monetary units in real-time video stream input. The empirical results demonstrate the efficacy of the suggested methodology in discerning and classifying distinct monetary units, a pivotal necessity in diverse financial scenarios. The amalgamation of the EAST model with OCR can augment money identification technology, strengthening the dependability of financial services such as ATM operation and currency conversion and ultimately elevating consumer happiness during financial transactions.

AB - This research study presents a novel approach for detecting currency utilizing cutting-edge technologies such as the Efficient and Accurate Scene Text (EAST) model and Tesseract Optical Character Recognition (OCR). The EAST model is employed to identify text within scenes, whereas Tesseract OCR is utilized to effectively recognize and classify monetary units in real-time video stream input. The empirical results demonstrate the efficacy of the suggested methodology in discerning and classifying distinct monetary units, a pivotal necessity in diverse financial scenarios. The amalgamation of the EAST model with OCR can augment money identification technology, strengthening the dependability of financial services such as ATM operation and currency conversion and ultimately elevating consumer happiness during financial transactions.

KW - Currency identification

KW - Currency recognition

KW - EAST model

KW - Tesseract OCR

KW - Text detection

U2 - 10.1109/EICEEAI60672.2023.10590444

DO - 10.1109/EICEEAI60672.2023.10590444

M3 - Conference contribution

AN - SCOPUS:85200008496

SN - 9798350373370

T3 - International Engineering Conference on Electrical, Energy, and Artificial Intelligence

BT - 2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)

PB - IEEE

T2 - 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence

Y2 - 27 December 2023 through 28 December 2023

ER -

Abass ES, Mohamed AEF, Amer A, Hafez M, Solyman A, Fawzy M. Currency recognition using EAST for text detection and tesseract OCR for text recognition. In 2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI). IEEE. 2024. (International Engineering Conference on Electrical, Energy, and Artificial Intelligence). doi: 10.1109/EICEEAI60672.2023.10590444

Currency recognition using EAST for text detection and tesseract OCR for text recognition

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Documents and Links

Fingerprint

Cite this