Information Technology Reference
In-Depth Information
[21]
Bourbakis, N.G.: Handwriting recognition using a reduced character method and
neural nets. In: Proc. SPIE Nonlinear Image Processing VI, vol. 2424, pp. 592-601
(1995)
[22]
Bourlard, H., Morgan, N.: Connnectionist Speech Recognition: A Hybrid Approach.
Kluwer Academic Publishers (1994)
[23]
Bengio, Y.: Markovian models for sequential data. Neural Computing Surveys 2,
129-162 (1999)
[24]
Brakensiek, A., Kosmala, A., Willett, D., Wang, W., Rigoll, G.: Performance evalua-
tion of a new hybrid modeling technique for handwriting recognition using identical
on-line and off-line data. In: Proc. 5th Int. Conf. on Document Analysis and Recogni-
tion, Bangalore, India, pp. 446-449 (1999)
[25]
Marukatat, S., Artires, T., Dorizzi, B., Gallinari, P.: Sentence recognition through hy-
brid neuro-markovian modelling. In: Proc. 6th Int. Conf. on Document Analysis and
Recognition, pp. 731-735 (2001)
[26]
Jaeger, S., Manke, S., Reichert, J., Waibel, A.: Online handwriting recognition: the
NPen++ recognizer. Int. Journal on Document Analysis and Recognition 3(3),
169-180 (2001)
[27]
Caillault, E., Viard-Gaudin, C., Ahmad, A.R.: MS-TDNN with global discriminant
trainings. In: Proc. 8th Int. Conf. on Document Analysis and Recognition, pp. 856-
861 (2005)
[28]
Senior, A.W., Fallside, F.: An off-line cursive script recognition system using recur-
rent error propagation networks. In: International Workshop on Frontiers in
Handwriting Recognition, Buffalo, NY, USA, pp. 132-141 (1993)
[29]
Senior, A.W., Robinson, A.J.: An off-line cursive handwriting recognition system.
IEEE Transactions on Pattern Analysis and Machine Intelligence 20(3), 309-321
(1998)
[30]
Schenk, J., Rigoll, G.: Novel hybrid NN/HMM modelling techniques for on-line
handwriting recognition. In: Proc. 10th Int. Workshop on Frontiers in Handwriting
Recognition, pp. 619-623 (2006)
[31]
IAM-OnDB an on-line English sentence database acquired from handwritten text
on a whiteboard, In: Proc. 8th Int. Conf. on Document Analysis and Recognition, pp.
956-961 (2005)
[32]
The IAM-database: an English sentence database for offline handwriting recognition.
Int. Journal on Document Analysis and Recognition 5, 39-46 (2002)
[33]
Liwicki, M., Bunke, H.: Handwriting recognition of whiteboard notes - studying the
influence of training set size and type. Int. Journal of Pattern Recognition and Artifi-
cial Intelligence 21(1), 83-98 (2007)
[34]
Graves, A.: Supervised Sequence Labelling with Recurrent Neural Networks., Ph.D.
thesis, Technical University of Munich (2008)
[35]
Schuster, M., Paliwal, K.K.: Bidirectional recurrent neural networks. IEEE Trans.
Signal Processing 45, 2673-2681 (1997)
[36]
Graves, A., Fernández, S., Gomez, F., Schmidhuber, J.: Connectionist temporal clas-
sification: labeling unsegmented sequence data with recurrent neural networks. In:
Proc. Int. Conf. on Machine Learning, pp. 369-376 (2006)
[37]
Pitman, J.A.: Handwriting recognition: Tablet pc text input. Computer 40(9), 49-54
(2007)
[38]
Proc. 10th Int. Conf. on Document Analysis and Recognition (2009)
Search WWH ::
Custom Search