Classical techniques are not flexible and adaptive for new handwriting constraints. Offline handwritten character recognition for English alphabets has been proposed in this paper. The proposed system uses three layer feed forward neural network and optimized the weight using PSO algorithm. The proposed system works well with benchmark dataset from C.E.D.A.R.