This thesis is concerned with the problem of achieving accurate recognition
rates for Cursive Script Recognition (CSR). Cursive Script Recognition is
difficult due to writer variations such as script formation and time non-linearities.
This research entailed analysis and implementation of a Cursive Script
word-level Recognition system using Dynamic Time Warping...