Genetical Engineering of Handwriting Representations (2002) [3 citations — 0 self]
Abstract:
This paper presents experiments with genetically engineered feature sets for recognition of on-line handwritten characters. These representations stem from a nondescript decomposition of the character frame into a set of rectangular regions, possibly overlapping, each represented by a vector of 7 fuzzy variables. Efficient new feature sets are automatically discovered using genetic programming techniques. Recognition experiments conducted on isolated digits of the Unipen database yield improvements of more than 3% over a previously manually designed representation where region positions and sizes were fixed.
Citations
| 1942 | Adaptation in Natural and Artificial Systems – Holland - 1975 |
| 1921 | Genetic Programming I : On the Programming of Computers by Means of Natural Selection – Koza - 1992 |
| 206 | Genetic Programming : An Introduction : On the Automatic Evolution of Computer Programs and Its Applications – Banzhaf, Nordin, et al. - 1998 |
| 151 | Strongly Typed Genetic Programming – Montana - 1995 |
| 68 | UNIPEN project of on-line data exchange and recognizer benchmarks – Guyon, Schomaker, et al. - 1994 |
| 10 | Online handwriting recognition – Plamondon, Lopresti, et al. - 1999 |
| 7 | Active Handwritten Character Recognition using Genetic Programming – Teredesai, Park, et al. - 2001 |
| 6 | A new fuzzy geometric representation for on-line isolated character recognition – Hebert, Parizeau, et al. - 1998 |
| 6 | Character recognition experiments using unipen data – Parizeau, Lemieux, et al. - 2001 |
| 4 | Open BEAGLE: A new C++ evolutionary computation framework – Gagné, Parizeau - 2002 |

