Arnon Amir, Michael Lindenbaum
IEEE Transactions on Pattern Analysis and Machine Intelligence
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.
Arnon Amir, Michael Lindenbaum
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vicki L Hanson, Edward H Lichtenstein
Cognitive Psychology
Danila Seliayeu, Quinn Pham, et al.
CASCON 2024
Jianchang Mao, Patrick J. Flynn, et al.
Computer Vision and Image Understanding