TY - GEN
T1 - Indoor Multi-Lingual Scene Text Database with Different Views
AU - Akbari, Younes
AU - Kunhoth, Jayakanth
AU - Elharrouss, Omar
AU - Al-Maadeed, Somaya
AU - Abualsaud, Khalid
AU - Mohamed, Amr
AU - Khattab, Tamer
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This paper introduces a database of multi-script (Arabic and English) for indoor scene text detection, taken from different angle-of-view. This database can be used in a variety of real-world applications, such as image search, robot navigation, and assisting the visually impaired. The database contains 944 images taken with smartphones in an indoor environment at Qatar University. These images were taken from at least three angles, making the database even more challenging. To evaluate the database, an OCR method based on multiple language detection is considered. The results show that multi-language detection should be given more attention in practice. The database is publicly available 11https:/www.dropbox.com/s/7s7f936y4etzsu7/QU-door-dataset%20%282%29.zip?dl=0.
AB - This paper introduces a database of multi-script (Arabic and English) for indoor scene text detection, taken from different angle-of-view. This database can be used in a variety of real-world applications, such as image search, robot navigation, and assisting the visually impaired. The database contains 944 images taken with smartphones in an indoor environment at Qatar University. These images were taken from at least three angles, making the database even more challenging. To evaluate the database, an OCR method based on multiple language detection is considered. The results show that multi-language detection should be given more attention in practice. The database is publicly available 11https:/www.dropbox.com/s/7s7f936y4etzsu7/QU-door-dataset%20%282%29.zip?dl=0.
KW - Database
KW - Multi-lingual scene text
KW - OCR
UR - http://www.scopus.com/inward/record.url?scp=85179847980&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85179847980&partnerID=8YFLogxK
U2 - 10.1109/ISNCC58260.2023.10323921
DO - 10.1109/ISNCC58260.2023.10323921
M3 - Conference contribution
AN - SCOPUS:85179847980
T3 - 2023 International Symposium on Networks, Computers and Communications, ISNCC 2023
BT - 2023 International Symposium on Networks, Computers and Communications, ISNCC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Symposium on Networks, Computers and Communications, ISNCC 2023
Y2 - 23 October 2023 through 26 October 2023
ER -