David Carmel, Haggai Roitman, et al.
ACM TIST
The concept of key characters in a cursively handwritten word image is introduced and a method for extracting the key characters is presented. Key characters capture the unambiguous parts of the cursive words that can be reliably segmented and recognized. We propose a method for lexicon reduction using key characters in conjunction with a word-length estimation.
David Carmel, Haggai Roitman, et al.
ACM TIST
Hagen Soltau, Lidia Mangu, et al.
ASRU 2011
Guillaume Buthmann, Tomoya Sakai, et al.
ICASSP 2025
Pol G. Recasens, Yue Zhu, et al.
EuroSys 2024