This paper describes on-line recognition of handwritten Lao characters by adopting Markov random field (MRF). The character set to recognize includes consonants, vowels and tone marks, 52 characters in total. It extracts feature points along the pen-tip trace from pen-down to pen-up, and then sets each feature point from an input pattern as a site and each state from a character class as a labe...

Offline handwritten character recognition has been one of the most engrossing and challenging research areas in the field of pattern recognition in the recent years. Offline handwritten character recognition is a very problematic research area because writing styles may vary from one user to another. In this paper a proposed technique for offline handwritten Gurmukhi character recognition has b...