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This paper presents a system for the recognition of unconstrained handwritten mails. The main part of this system is an HMM recognizer which uses trigraphs to model contextual information. This recognition system does not require any segmentation into words or characters and directly works at line level. To take into account linguistic information and enhance performance, a language model is introduced. This language model is based on bigrams and built from training document transcriptionsdoi:10.1117/12.911965 dblp:conf/drr/MorillotLG12 fatcat:ug66hd42zjbanidwyc4fuvgsui