In this paper is presented a new database for handwritten cursive basic words recognition. The database is devoted to research on bank-check processing. In fact, for security reasons, the banks rarely allow the treatment of checks handled by them. On the other hand, the reasons for the English basic words choice lie in the fact that English language is the world most commonly used for bank-check drawing. The database realised includes a considerable number of instances of basic words. Pattern images are stored using a standard image format that will be available to all researchers by Internet. The importance of this work lies in the fact that the database is queried by the network, giving the possibility to grow with the contribution of others researchers. The tagging has been generated by using the XML language that allows recovering also information on the writers. Furthermore, the information handled not only could allow the semantic recognition of the specimen but also the research development on the author identity of the manuscript. The database is an open one to be increased with the contribution of all others researchers in the world.
A new Cursive Basic Word Database for Bank-check Processing Systems
IMPEDOVO, Sebastiano;
2012-01-01
Abstract
In this paper is presented a new database for handwritten cursive basic words recognition. The database is devoted to research on bank-check processing. In fact, for security reasons, the banks rarely allow the treatment of checks handled by them. On the other hand, the reasons for the English basic words choice lie in the fact that English language is the world most commonly used for bank-check drawing. The database realised includes a considerable number of instances of basic words. Pattern images are stored using a standard image format that will be available to all researchers by Internet. The importance of this work lies in the fact that the database is queried by the network, giving the possibility to grow with the contribution of others researchers. The tagging has been generated by using the XML language that allows recovering also information on the writers. Furthermore, the information handled not only could allow the semantic recognition of the specimen but also the research development on the author identity of the manuscript. The database is an open one to be increased with the contribution of all others researchers in the world.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
