𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A survey on off-line Cursive Word Recognition

✍ Scribed by Alessandro Vinciarelli

Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
179 KB
Volume
35
Category
Article
ISSN
0031-3203

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

On-line recognition of cursive Korean ch
On-line recognition of cursive Korean characters using graph representation
✍ Keechul Jung; Hang Joon Kim πŸ“‚ Article πŸ“… 2000 πŸ› Elsevier Science 🌐 English βš– 1021 KB

The automatic recognition of cursive Korean characters is a di$cult problem, not only due to the multiple possible variations involved in the shapes of characters, but also because of the interconnections of neighboring graphemes within an individual character. This paper proposes a recognition meth

SEGMENTATION OF OFF-LINE CURSIVE HANDWRI
SEGMENTATION OF OFF-LINE CURSIVE HANDWRITING USING LINEAR PROGRAMMING
✍ BERRIN YANIKOGLU; PETER A. SANDON πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 382 KB

Segmentation of cursive words into letters has been one of the major problems in handwriting recognition. We introduce a new segmentation algorithm, guided in part by the global characteristics of the handwriting. We find the successive segmentation points by evaluating a cost function at each point

Off-line cursive handwriting recognition
Off-line cursive handwriting recognition using multiple classifier systemsβ€”on the influence of vocabulary, ensemble, and training set size
✍ Simon GΓΌnter; Horst Bunke πŸ“‚ Article πŸ“… 2005 πŸ› Elsevier Science 🌐 English βš– 281 KB

Unconstrained handwritten text recognition is one of the most difficult problems in the field of pattern recognition. Recently, a number of classifier creation and combination methods, known as ensemble methods, have been proposed in the field of machine learning. They have shown improved recognitio