Dynamic Handwritten Keyword Spotting Based on the NSHP-HMM

Authors:
Ch. Choisy
Affiliations:
ITESOFT - France
Venue:
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
Year:
2007

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Abstract

This paper presents a keyword spotting system based on the NSHP-HMM. This model allows to dynamically create global word models from letters models, and do not require any writing segmentation. The second section describes our system and its application to a keyword-based handwritten mail sorting task. Next section shows how to divide process- ing time by 4, using a fix-point arithmetic and a dynamic model desactivation approach based on the natural length complexity. First results are encouraging, particulary for a document-level analysis.