To date, automatic handwriting recognition systems are far from being perfect and often they need a post editing where a human intervention is required to check and correct the results of such systems. We propose to have a new inter- active, on-line framework which, rather than full automa- tion, aims at assisting the human in the proper recognition- transcription process; that is, facilitate and speed up their transcription task of handwritten texts. This framework combines the efficiency of automatic handwriting recogni- tion systems with the accuracy of the human transcriptor. The best result is a cost-effective perfect transcription of the handwriting text images.