TY - GEN
T1 - Non-uniform slant correction for handwritten text line recognition
AU - Bertolami, Roman
AU - Uchida, Seiichi
AU - Zimmermann, Matthias
AU - Bunke, Horst
PY - 2007
Y1 - 2007
N2 - In this paper we apply a novel non-uniform slant correction preprocessing technique to improve the recognition of offline handwritten text lines. The local slant correction is expressed as a global optimisation problem of the sequence of local slant angles. This is different to conventional slant removal techniques that rely on the average slant angle. Experiments based on a state-of-the-art handwritten text line recogniser show a significant gain in word level accuracy for the investigated preprocessing methods.
AB - In this paper we apply a novel non-uniform slant correction preprocessing technique to improve the recognition of offline handwritten text lines. The local slant correction is expressed as a global optimisation problem of the sequence of local slant angles. This is different to conventional slant removal techniques that rely on the average slant angle. Experiments based on a state-of-the-art handwritten text line recogniser show a significant gain in word level accuracy for the investigated preprocessing methods.
UR - http://www.scopus.com/inward/record.url?scp=51149104374&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51149104374&partnerID=8YFLogxK
U2 - 10.1109/ICDAR.2007.4378668
DO - 10.1109/ICDAR.2007.4378668
M3 - Conference contribution
AN - SCOPUS:51149104374
SN - 0769528228
SN - 9780769528229
T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
SP - 18
EP - 22
BT - Proceedings - 9th International Conference on Document Analysis and Recognition, ICDAR 2007
T2 - 9th International Conference on Document Analysis and Recognition, ICDAR 2007
Y2 - 23 September 2007 through 26 September 2007
ER -