Classifying and recognizing Telugu characters (aksharas) is a challenging task because of the variations in the script and the large number of characters. The complexity of the shape is a result of structural compositions involving vowels (V), consonants (C), consonants with vowel modifiers (CV) and consonant clusters (CCV). This paper presents a novel classification strategy for classifying aksharas with the CV structure. This is achieved by constructing two decision trees — one for consonants and the other for vowel modifiers — by hybridizing the moment invariants and C4.5 algorithm. The results, although preliminary and limited in scale, illustrate the potential strengths of the approach. Perhaps, the uniqueness and the strength of the approach lies in the divide-and-conquer strategy where the two
