We proposed a new method for on-line handwritten Chinese word recognition based on lexicon. A pre-segment strategy is first applied to the input strokes and merges the strokes into candidate character boxes. Segmentation path generation and filtering method is then invoked to generate segmentation paths from the boxes and filter out impossible paths by the recognition results of candidate character and lexicon-based technique. The optimal segmentation path along with the best matching word in the lexicon is finally chosen by a voting strategy using both recognition and geometrical information. Superiority of the proposed approach has been proven by testing it with 8550 words collected by Tablet PC. The accuracy of segmentation and recognition is about 99%