A Categorization System for Handwritten Documents

T. Paquet (1) , L. Heutte (1) , G. Koch (1) , C. Chatelain (1)

1 LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes

This paper presents a complete system able to categorize handwritten documents, i.e. to classify documents according to their topic. The categorization approach is based on the detection of some discrim- inative keywords prior to the use of the well known tf-idf representation for document categorization. Two keyword extraction strategies are explored. The rst one proceeds to the recognition of the whole document. However, the performance of this strategy strongly de- creases when the lexicon size increases. The second strat- egy only extracts the discriminative keywords in the handwritten documents. This information extraction strategy relies on the integration of a rejection model (or anti-lexicon model) in the recognition system. Ex- periments have been carried out on an unconstrained handwritten document database coming from an indus- trial application concerning the processing of incoming mails. Results show that the discriminative keyword ex- traction system leads to better recall/precision trade- o s than the full recognition strategy. The keyword ex- traction strategy also outperforms the full recognition strategy for the categorization task.

Mots clés: Handwritten Document Categorization; Handwriting Recognition; Keyword Extraction; Shallow language model

Domaines: Traitement du texte et du document

T. Paquet, L. Heutte, G. Koch, C. Chatelain. A Categorization System for Handwritten Documents. International Journal on Document Analysis and Recognition, 2012, 15 (4), pp.315-330. ⟨hal-00778177⟩