id: 05877920
dt: a
an: 05877920
au: Nasrudin, Mohammad Faidzul; Omar, Khairuddin; Liong, Choong-Yeun; Zakaria,
    Mohamad Shanudin
ti: Object signature features selection for handwritten Jawi recognition.
so: Ponce de Leon F. de Carvalho, Andre (ed.) et al., Distributed computing and
    artificial intelligence. 7th international symposium (DCAI’10).
    Papers based on the presentations at the symposium, Valencia, Spain,
    September 7‒10, 2010. Berlin: Springer (ISBN 978-3-642-14882-8/pbk;
    978-3-642-14883-5/ebook). Advances in Intelligent and Soft Computing
    79, 689-698 (2010).
py: 2010
pu: Berlin: Springer
la: EN
cc: 
ut: feature selection; object signature; handwritten Jawi recognition; trace
    transform
ci: 
li: doi:10.1007/978-3-642-14883-5_88
ab: Summary: The trace transform allows one to construct an unlimited number of
    image features that are invariant to a chosen group of image
    transformations. Object signature that is in the form of string of
    numbers is one kind of the transform features. In this paper, we
    demonstrate a wrapper method along with several ranking evaluation
    measurements to select useful features for the recognition of
    handwritten Jawi images. We compare the result of the recognition with
    those obtained by using methods where features are randomly selected or
    no feature selection at all. The proposed methods seem to be most
    promising.
rv: