A Machine Learning Approach to Hypothesis Decoding in Scene Text Recognition

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Original language	English
Title of host publication	Computer Vision - ACCV 2014 Workshops - Singapore, Singapore, November 1-2, 2014, Revised Selected Papers, Part II
Pages	169-180
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-319-16631-5_13
Publication status	Published - 2014
Publication type	A4 Article in conference proceedings

Access to Document

@inproceedings{4f09deedeed64032ae8323edfea166de,

title = "A Machine Learning Approach to Hypothesis Decoding in Scene Text Recognition",

author = "Jindrich Libovick{\'y} and Lukas Neumann and Pavel Pecina and Jiri Matas",

year = "2014",

doi = "10.1007/978-3-319-16631-5\_13",

language = "English",

pages = "169--180",

booktitle = "Computer Vision - ACCV 2014 Workshops - Singapore, Singapore, November 1-2, 2014, Revised Selected Papers, Part II",

}

A Machine Learning Approach to Hypothesis Decoding in Scene Text Recognition. / Libovický, Jindrich; Neumann, Lukas; Pecina, Pavel et al.
Computer Vision - ACCV 2014 Workshops - Singapore, Singapore, November 1-2, 2014, Revised Selected Papers, Part II. 2014. p. 169-180.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - A Machine Learning Approach to Hypothesis Decoding in Scene Text Recognition

AU - Libovický, Jindrich

AU - Neumann, Lukas

AU - Pecina, Pavel

AU - Matas, Jiri

PY - 2014

Y1 - 2014

U2 - 10.1007/978-3-319-16631-5_13

DO - 10.1007/978-3-319-16631-5_13

M3 - Conference contribution

SP - 169

EP - 180

BT - Computer Vision - ACCV 2014 Workshops - Singapore, Singapore, November 1-2, 2014, Revised Selected Papers, Part II

ER -