Penentuan Klas Sidik Jari Berdasarkan Arah Kemiringan Ridge
Abstract: Researches on fingerprint
classification are generally based on its features such as core and
delta. Extraction of these features are generally preceded by a variety of
preprocessing. In this study the classification is done directly on the
fingerprint image without preprocessing. Feature used as the basis for
classification is the direction of the ridge. The direction of the ridge is determined by the slope of the blocks that
are exist on every ridge. Fingerprint image is divided into blocks of size 3x3
pixels and the direction of each block is determined. Direction of the slope of
the block are grouped into 8, these are
north, north-east, east, south-east, south, south-west, west and
north-west. The number of blocks in each direction form the basis of
classification using Learning Vector Quantization network (LVQ). This study
used 80 data samples from the database of FVC2004. This model obtained
classification accuracy of up to 86.3%.
Penulis: Sri Suwarno, Agus
Harjoko
Kode Jurnal: jptinformatikadd110170
