A. V. Nath, Netaji Subhas Institute of Technology, India
V. K. Madasu, Queensland University of Technology, Australia
This paper presents the recognition of Handwritten Hindi Numerals. The recognition is based on the modified exponential membership function fitted to the fuzzy sets derived from features consisting of normalized distances obtained using the Box approach. The exponential membership function is modified by two structural parameters that are estimated by optimizing the entropy subject to the attainment of membership function to unity. The optimization strategy used is the foraging model of E.coli bacteria.
Citation:
M. Hanmandlu, A. V. Nath, A. C. Mishra, V. K. Madasu, "Fuzzy Model Based Recognition of Handwritten Hindi Numerals using Bacterial Foraging," icis, pp.309-314, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007