  This paper presents multi-font/multi-size Kannada numerals and vowels
recognition based on spatial features. Directional spatial features viz stroke
density, stroke length and the number of stokes in an image are employed as
potential features to characterize the printed Kannada numerals and vowels.
Based on these features 1100 numerals and 1400 vowels are classified with
Multi-class Support Vector Machines (SVM). The proposed system achieves the
recognition accuracy as 98.45% and 90.64% for numerals and vowels respectively.
