TY - GEN
T1 - Text-line-up
T2 - 16th International Conference on Document Analysis and Recognition, ICDAR 2021
AU - Adak, Chandranath
AU - Chaudhuri, Bidyut B.
AU - Lin, Chin Teng
AU - Blumenstein, Michael
PY - 2021
Y1 - 2021
N2 - In a freestyle handwritten text-line, sometimes words are inserted using a caret symbol (∧ ) for corrections/annotations. Such insertions create fluctuations in the reading sequence of words. In this paper, we aim to line-up the words of a text-line, so that it can assist the OCR engine. Previous text-line segmentation techniques in the literature have scarcely addressed this issue. Here, the task undertaken is formulated as a path planning problem, and a novel multi-agent hierarchical reinforcement learning-based architecture solution is proposed. As a matter of fact, no linguistic knowledge is used here. Experimentation of the proposed solution architecture has been conducted on English and Bengali offline handwriting, which yielded some interesting results.
AB - In a freestyle handwritten text-line, sometimes words are inserted using a caret symbol (∧ ) for corrections/annotations. Such insertions create fluctuations in the reading sequence of words. In this paper, we aim to line-up the words of a text-line, so that it can assist the OCR engine. Previous text-line segmentation techniques in the literature have scarcely addressed this issue. Here, the task undertaken is formulated as a path planning problem, and a novel multi-agent hierarchical reinforcement learning-based architecture solution is proposed. As a matter of fact, no linguistic knowledge is used here. Experimentation of the proposed solution architecture has been conducted on English and Bengali offline handwriting, which yielded some interesting results.
KW - Handwriting
KW - Hierarchical reinforcement learning
KW - Multi-agent reinforcement learning
KW - Proof-reading
UR - https://www.scopus.com/pages/publications/85115321110
U2 - 10.1007/978-3-030-86334-0_14
DO - 10.1007/978-3-030-86334-0_14
M3 - Conference contribution
AN - SCOPUS:85115321110
SN - 9783030863333
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 207
EP - 222
BT - Document Analysis and Recognition - ICDAR 2021 - 16th International Conference, Proceedings
A2 - Lladós, Josep
A2 - Lopresti, Daniel
A2 - Uchida, Seiichi
PB - Springer Science and Business Media Deutschland GmbH
CY - Cham, Switzerland
Y2 - 5 September 2021 through 10 September 2021
ER -