Analysis of pattern recognition techniques for in-air signature biometrics

Pattern Recognition

Volumn 44, Issue 10-11, 2011, Pages 2468-2478

  Bailador, Gonzalo ^a   Sanchez Avila, Carmen ^a   Guerra Casanova, Javier ^a   De Santos Sierra, Alberto ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Accelerometer; Bayes; Biometrics; Dynamic time warping; Hidden Markov models; Signature

Indexed keywords

ACCELEROMETERS; BIOMETRICS;

BAYES; BAYES CLASSIFIER; BIOMETRIC FEATURES; DYNAMIC TIME WARPING; HANDWRITTEN SIGNATURES; MOBILE TECHNOLOGY; PATTERN RECOGNITION TECHNIQUES; SIGNATURE;

HIDDEN MARKOV MODELS;

EID: 79958810163     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2011.04.010     Document Type: Article

References (40)

1. E.P. Lim Mobile commerce: promises, challenges, and research agenda Journal of Database Management 12 2001 4 13
2. G.N. Daldal A cellular phone based home/office controller and alarm system GU Journal of Science 19 2006 21 26
3. H. Hermanns Mobile democracy: mobile phones as democratic tools Politics 28 2008 74 82
4. A.K. Jain, P. Flynn, and A.A. Ross Handbook of Biometrics 2007 Springer-Verlag New York, Inc., Secaucus, NJ, USA
5. S.S. Chowhan, and G.N. Shinde Iris biometrics recognition application in security management Congress on Image and Signal Processing, vol. 1 2008 661 665
6. Y.J. Chin, T.S. Ong, M.K. Goh, and B.Y. Hiew Integrating palmprint and fingerprint for identity verification International Conference on Network and System Security 2009 437 442
7. V. Kanhangad, A. Kumar, and D. Zhang Combining 2d and 3d hand geometry features for biometric verification Computer Vision and Pattern Recognition Workshop 2009 39 44
8. C. Nandini, and C.N. RaviKumar Multibiometrics approach for facial recognition International Conference on Computational Intelligence and Multimedia Applications, vol. 2 2007 417 422
9. Y. Zhu, T. Tan, and Y. Wang Biometric personal identification based on handwriting International Conference on Pattern Recognition, vol. 2 2000 2797
10. M. Rybnik, M. Tabedzki, and K. Saeed A keystroke dynamics based system for user identification International Conference on Computer Information Systems and Industrial Management Applications 2008 225 230
11. M.S. Nixon, T. Tan, and R. Chellappa Human Identification Based on Gait 2006 Springer-Verlag New York Inc.
12. E. Farella, S. O'Modhrain, L. Benini, and B. Riccó Gesture signature for ambient intelligence applications: a feasibility study Pervasive Computing 2006 288 304 (Pubitemid 44044764)
13. K. Matsuo, F. Okumura, M. Hashimoto, S. Sakazawa, and Y. Hatori Arm swing identification method with template update for long term stability Advances in Biometrics 2007 211 221
14. J.H. Steve Dowling, Nancy Paxton, Apple reports first quarter results, 2009.
15. R.E. Haskell, D.M. Hanna, K.V. Sickle, 3d signature biometrics using curvature moments, in: International Conference on Artificial Intelligence, Las Vegas, Nevada, USA, pp. 718721.
16. J. Liu, L. Zhong, J. Wickramasuriya, V. Vasudevan, User evaluation of lightweight user authentication with a single tri-axis accelerometer, in: Proceedings of the 11th International Conference on HumanComputer Interaction with Mobile Devices and Services, ACM, p. 15.
17. S. Kallio, J. Kela, J. Mantyjarvi, Online gesture recognition system for mobile interaction, in: IEEE International Conference on Systems Man and Cybernetics, vol. 3, 2003, pp. 20702076.
18. A.K. Jain, F.D. Griess, S.D. Connell, and E. Lansing On-line signature verification Pattern Recognition 35 2002 2002
19. J. Guo, D. Doermann, and A. Rosenfeld Local correspondence for detecting random forgeries International Conference on Document Analysis and Recognition 1997 319
20. M. Kauppila, S. Pirttikangas, X. Su, J. Riekki, Accelerometer Based Gestural Control of Browser Applications, in: International Workshop on Real Field Identification (RFId2007). In conjunction with Fourth International Symposium on Ubiquitous Computing Systems (UCS 2007), pp. 2528.
21. J. Wu, G. Pan, D. Zhang, G. Qi, and S. Li Gesture recognition with a 3-D accelerometer Ubiquitous Intelligence and Computing 2009 25 38
22. C. Verplaetse Inertial proprioceptive devices: self-motion-sensing toys and tools IBM Systems Journal 35 1996 639 650 (Pubitemid 126593295)
23. L.R. Rabiner A tutorial on hidden Markov models and selected applications in speech recognition Proceedings of the IEEE 77 1989 257 286
24. J. Hu, M.K. Brown, and W. Turin HMM based on-line handwriting recognition IEEE Transactions on Pattern Analysis and Machine Intelligence 18 1996 1039 1045 (Pubitemid 126773914)
25. P. Lukowicz, J.A. Ward, H. Junker, M. Stäger, G. Tröster, A. Atrash, T. Starner, Recognizing workshop activity using body worn microphones and accelerometers, 2004.
26. J. Mäntyjärvi, J. Kela, P. Korpipää, and S. Kallio Enabling fast and effortless customisation in accelerometer based gesture interaction MUM '04: Proceedings of the 3rd International Conference on Mobile and Ubiquitous Multimedia 2004 ACM Press New York, NY, USA 25 31
27. T. Pylvänäinen Accelerometer based gesture recognition using continuous HMMs Pattern Recognition and Image Analysis 11 2005 639 646 (Pubitemid 41351502)
28. V.M. Mäntylä, J. Mäntyjärvi, T. Seppänen, E. Tuulari, Hand gesture recognition of a mobile device user, in: Proceedings of the International IEEE Conference on Multimedia and Expo, pp. 281284.
29. J. Fierrez, J.O. Garcia, D. Ramos, and J.G. Rodriguez HMM-based on-line signature verification: feature extraction and signature modeling Pattern Recognition Letters 28 2007 2325 2334 (Pubitemid 47538786)
30. L. Bao, and S.S. Intille Activity recognition from user-annotated acceleration data Pervasive Computing 2004 1 17
31. I. Batal, and M. Hauskrecht A supervised time series feature extraction technique using DCT and DWT Fourth International Conference on Machine Learning and Applications 2009 735 739
32. T. Frantti, and S. Kallio Expert system for gesture recognition in terminal's user interface Expert Systems with Applications 26 2004 189 202
33. Speech recognition using dynamic time warping with neural network trained templates, vol. 2, Baltimore, MD, USA, 1992.
34. A. Corradini Dynamic time warping for off-line recognition of a small gesture vocabulary IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems 2001 IEEE Computer Society Washington, DC, USA 82 89
35. R. Muscillo, S. Conforto, M. Schmid, P. Caselli, T. D'alessio, Classification of motor activities through derivative dynamic time warping applied on accelerometer data, in: EMBS 2007. 29th Annual International Conference of the IEEE, Engineering in Medicine and Biology Society, 2007, pp. 49304933.
36. R. Muscillo, M. Schmid, S. Conforto, The median point DTW template to classify upper limb gestures at different speeds, in: Fourth European Conference of the International Federation for Medical and Biological Engineering, Springer, pp. 6366.
37. C. Sanchez-Avila, and R. Sanchez-Reillo Two different approaches for iris recognition using Gabor filters and multiscale zero-crossing representation Pattern Recognition 38 2005 231 240
38. T. Savic, and N. Pavesic Personal recognition based on an image of the palmar surface of the hand Pattern Recognition 40 2007 3152 3163 (Pubitemid 46990443)
39. A.K. Jain, F.D. Griess, and S.D. Connell On-line signature verification Pattern Recognition 35 2002 2963 2972
40. N. Boulgouris, K. Plataniotis, and D. Hatzinakos Gait recognition using linear time normalization Pattern Recognition 39 2006 969 979 (Pubitemid 43276109)