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
Ankit Vishnubhotla, Charlotte Loh, et al.
NeurIPS 2023
Jianchang Mao, Patrick J. Flynn, et al.
Computer Vision and Image Understanding
Albert Atserias, Anuj Dawar, et al.
Journal of the ACM