A Simple and Effective Cursive Word Segmentation Method
Year: 2004
Type: conference-abstract
Abstract: A simple procedure for cursive word oversegmentation is presented, which is based on the analysis of the handwritten profiles and on the extraction of ``white holes\\'\\'. It follows the policy of using simple rules on complex data and sophisticated rules on simpler data. Experimental results show robustness and performances comparable with the best ones presented in the literature.
Authors: Gianluca Nicchiotti, S. Rimassa, C. Scagliola
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1487411468