Incorporating Syntactic Constraints in Recognizing Handwritten Sentences

The output of handwritten word recognizers (HWR) tends to be very noisy due to various factors. In order to compensate for this behaviour, several choices of the HWR must be initially considered. In the case of handwritten sentence/phrase recognition, linguistic constraints may be applied in order to improve the results of the HWR. This paper discusses two statistical methods of applying syntactic constraints to the output of an HWR on input consisting of sentences/phrases. Both methods are based on syntactic categories (tags) associated with words. The rst is a purely statistical method, the second is a hybrid method which combines higher-level syntactic information (hypertags) with statistical informationregarding transitions between hypertags.

• Type: Conference
• Year: 1993
• Where: IJCAI
• Authors: Rohini K. Srihari, Charlotte M. Baltus
• Keywords: Handwritten Sentence/phrase Recognition, Handwritten Word Recognizers, IJCAI 1993, IJCAI 2007, Statistical Method