  The paper concentrates on improvement of segmentation accuracy by addressing
some of the key challenges of handwritten Devanagari word image segmentation
technique. In the present work, we have developed a new feature based approach
for identification of Matra pixels from a word image, design of a non-linear
fuzzy membership functions for headline estimation and finally design of a
non-linear fuzzy functions for identifying segmentation points on the Matra.
The segmentation accuracy achieved by the current technique is 94.8%. This
shows an improvement of performance by 1.8% over the previous technique [1] on
a 300-word dataset, used for the current experiment.
