Timor Leste is a new country of the 21st century in
Southeast Asia that has a diverse culture. Tais Timor Leste has a high historical value as well as cultural identity. It is also one of the cultural heritages of Timor Leste. Tais Timor has its own characteristics and meanings in every motif, but there are still many communities of Timor Leste as well as foreign tourists who do not know the variety of the motif. Therefore, this study aimed to establish the system recognition of Tais Timor motif through the image based on the type of motif. The wavelet transform is used in the process of feature extraction
and image decomposition to obtain coefficient values of which
the value of energy and entropy will then be calculated. For the
recognition of Tais Timor motif, backpropagation algorithm
was used. This application is built using MATLAB programming
language.
The
analysis
and
testing
of
these
studies

show
that
the
accuracy
of
recognition
of
Tais
Timor
motif
with
4 testing parameters got recognition accuracy and presentation
of 80%. Thus the motif used can be identified by using both
wavelet transform and backpropagation algorithm.