Online Signature Recognition

Toker K. G., KÜÇÜK S., Catalbas M. C.

22nd IEEE Signal Processing and Communications Applications Conference (SIU), Trabzon, Türkiye, 23 - 25 Nisan 2014, ss.1754-1757 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Trabzon
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1754-1757
  • Anahtar Kelimeler: K-nearest neighbor, feature extraction, signature recognition, online signature recognition, VERIFICATION
  • Ankara Üniversitesi Adresli: Hayır

Özet

In this paper, online signature recognition is examined by using K Nearest Neighborhood (KNN) method. The signatures are collected by an Android application which can extract the dynamic and spatial information of the signatures. In this frame, a signature database is consisting of a total of 120 signatures taken from 12 different person. The purpose of this paper, is to obtain high performance with a few training signatures. Also, the performance of signature recognition is investigated by different distance measurement methods in K Nearest Neighborhood.