TY - GEN
T1 - Evaluation for Optical Character Recognition of Mobile Application
AU - Yuadi, Imam
AU - Nihaya, Ullin
AU - Dwi Pratiwi, Friska
AU - Robert Singh, A.
AU - Fahmi, Faisal
AU - Tri Atmi, Ragil
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The library's ancient books are deteriorating, due to faded ink, and damaged paper. It is challenging for librarians to both manage and discover information. Therefore, a technique to overcome this is required, such as implementing text recognition by leveraging many IOT -based OCR apps in mobile phones, such as Text Fairy and Camscanner to find out the results of the effectiveness of OCR mobile apps. Accuracy calculations are needed, in this case, the use of CER and WER is implemented to determine the accuracy. From the results of CER and WER calculations, it was found that in book cover data, Camscanner comes out better than Text Fairy. However, on data that is entirely text, Text Fairy is better when compared to Camscanner. It can be concluded that Text Fairy is superior in recognizing text-only parts, whilst Camscanner is superior at recognizing parts that are not entirely text.
AB - The library's ancient books are deteriorating, due to faded ink, and damaged paper. It is challenging for librarians to both manage and discover information. Therefore, a technique to overcome this is required, such as implementing text recognition by leveraging many IOT -based OCR apps in mobile phones, such as Text Fairy and Camscanner to find out the results of the effectiveness of OCR mobile apps. Accuracy calculations are needed, in this case, the use of CER and WER is implemented to determine the accuracy. From the results of CER and WER calculations, it was found that in book cover data, Camscanner comes out better than Text Fairy. However, on data that is entirely text, Text Fairy is better when compared to Camscanner. It can be concluded that Text Fairy is superior in recognizing text-only parts, whilst Camscanner is superior at recognizing parts that are not entirely text.
KW - ancient books
KW - internet of things
KW - optical character recognition
KW - text recognition
UR - http://www.scopus.com/inward/record.url?scp=85161222581&partnerID=8YFLogxK
U2 - 10.1109/ICOEI56765.2023.10125751
DO - 10.1109/ICOEI56765.2023.10125751
M3 - Conference contribution
AN - SCOPUS:85161222581
T3 - 7th International Conference on Trends in Electronics and Informatics, ICOEI 2023 - Proceedings
SP - 1529
EP - 1535
BT - 7th International Conference on Trends in Electronics and Informatics, ICOEI 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Trends in Electronics and Informatics, ICOEI 2023
Y2 - 11 April 2023 through 13 April 2023
ER -