Recognition with Supplementary Information —How Many Bits Are Lacking for 100% Recognition?—
Journal
Proc. First International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2005)
Pages
pp.68-75
Location
Seoul, South Korea
Reviewed
Reviewed
Date
August 2005
Research fields
Pattern recognition
Key
Iwamura2005_CBDAR (id=367)
Abstract
In this paper, we propose a new model in which the classifier
receives not only a pattern itself but also supplementary
information that assists recognition. This model enables
us to achieve a 100% recognition rate with a 0%
rejection rate with certain bits of supplementary information
required. For printed characters, experiments show
that 4 bits of supplementary information were required in
the leave-one-out method and 1 bit was in the resubstitution
method. In addition, we generalize the discussion into
the relationship among a quantity of supplementary information,
a recognition rate and a rejection rate. The theory
presented in this paper is applied to the data embedding of
a font set for camera-based character recognition [9].
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