TY - GEN
T1 - Automatic Signature Stability Analysis and Verification Using Local Features
AU - Malik, Muhammad Imran
AU - Liwicki, Marcus
AU - Dengel, Andreas
AU - Uchida, Seiichi
AU - Frinken, Volkmar
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/9
Y1 - 2014/12/9
N2 - The purpose of writing this paper is two-fold. First, it presents a novel signature stability analysis based on signature's local / part-based features. The Speeded Up Local features (SURF) are used for local analysis which give various clues about the potential areas from whom the features should be exclusively considered while performing signature verification. Second, based on the results of the local stability analysis we present a novel signature verification system and evaluate this system on the publicly available dataset of forensic signature verification competition, 4NSigComp2010, which contains genuine, forged, and disguised signatures. The proposed system achieved an EER of 15%, which is considerably very low when compared against all the participants of the said competition. Furthermore, we also compare the proposed system with some of the earlier reported systems on the said data. The proposed system also outperforms these systems.
AB - The purpose of writing this paper is two-fold. First, it presents a novel signature stability analysis based on signature's local / part-based features. The Speeded Up Local features (SURF) are used for local analysis which give various clues about the potential areas from whom the features should be exclusively considered while performing signature verification. Second, based on the results of the local stability analysis we present a novel signature verification system and evaluate this system on the publicly available dataset of forensic signature verification competition, 4NSigComp2010, which contains genuine, forged, and disguised signatures. The proposed system achieved an EER of 15%, which is considerably very low when compared against all the participants of the said competition. Furthermore, we also compare the proposed system with some of the earlier reported systems on the said data. The proposed system also outperforms these systems.
UR - http://www.scopus.com/inward/record.url?scp=84942249887&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84942249887&partnerID=8YFLogxK
U2 - 10.1109/ICFHR.2014.109
DO - 10.1109/ICFHR.2014.109
M3 - Conference contribution
AN - SCOPUS:84942249887
T3 - Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR
SP - 621
EP - 626
BT - Proceedings - 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014
Y2 - 1 September 2014 through 4 September 2014
ER -