| In the field of financial document processing, recognition of touching handwritten numerals has been limited by lack of good benchmarking databases and low reliability of algorithms. This paper addresses the efforts toward solving the two problems. Two databases IRIS-Bell'98 and TNIST are built/organized to serve as standard data sets. Working with the samples from these databases, we proposed a Recognition & Verification system measured by precision rate, which reflects the system reliability in a class-specific manner. The graph-based recognizer combines the segmentation-based and segmentation-free approaches, while the verifier incorporates both general and domain specific verification schemes. Results supported the effectiveness of the proposed verification scheme. |
In: L.R.B. Schomaker and L.G. Vuurpijl (Eds.)
Proceedings of the Seventh International Workshop on Frontiers
in Handwriting Recognition, September 11-13 2000, Amsterdam,
Nijmegen: International Unipen Foundation,
ISBN 90-76942-01-3
pp. 179-188.