TY - GEN
T1 - A bottom up procedure for text line segmentation of Latin script
AU - Jain, Himanshu
AU - Kumar, Archana Praveen
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/30
Y1 - 2017/11/30
N2 - In this paper we present a bottom up procedure for segmentation of text lines written or printed in the Latin script. The proposed method uses a combination of image morphology, feature extraction and Gaussian mixture model to perform this task. The experimental results show the validity of the procedure.
AB - In this paper we present a bottom up procedure for segmentation of text lines written or printed in the Latin script. The proposed method uses a combination of image morphology, feature extraction and Gaussian mixture model to perform this task. The experimental results show the validity of the procedure.
UR - https://www.scopus.com/pages/publications/85042742098
UR - https://www.scopus.com/pages/publications/85042742098#tab=citedBy
U2 - 10.1109/ICACCI.2017.8126002
DO - 10.1109/ICACCI.2017.8126002
M3 - Conference contribution
AN - SCOPUS:85042742098
VL - 2017-January
T3 - 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
SP - 1182
EP - 1187
BT - 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
Y2 - 13 September 2017 through 16 September 2017
ER -