G. Erdtman, An Introduction to Pollen Analysis, Soil Science, vol.57, issue.3, 1943.
DOI : 10.1097/00010694-194403000-00006

M. Hesse, H. Halbritter, M. Weber, R. Buchner, A. Frosch-radivo et al., Pollen Terminology. An illustrated handbook, Austria, 2009.

M. Rodríguez-damián, E. Cernadas, A. Formella, and A. Gonzlez, Automatic identification and classification of pollen of the urticaceae family, Proceedings of Advanced Concepts for Intelligent Vision Systems, pp.38-45, 2003.

P. Li, W. J. Treloar, J. R. Flenley, and L. Empson, Towards automation of palynology 2: the use of texture measures and neural network analysis for automated identification of optical images of pollen grains, Journal of Quaternary Science, vol.30, issue.8, pp.755-762, 2004.
DOI : 10.1002/jqs.874

A. Boucher, P. J. Hidalgo, M. Thonnat, J. Belmonte, C. Galan et al., Development of a semi-automatic system for pollen recognition, Aerobiologia, vol.18, issue.3/4, pp.195-201, 2002.
DOI : 10.1023/A:1021322813565

C. Chen, E. A. Hendriks, R. P. Duin, J. Reiber, P. Hiemstra et al., Feasibility study on automated recognition of allergenic pollen: grass, birch and mugwort, Aerobiologia, vol.80, issue.Suppl 1, pp.275-284, 2006.
DOI : 10.1007/s10453-006-9040-0

O. Ronneberger, Q. Wang, and H. Burkhardt, 3D Invariants with High Robustness to Local Deformations for Automated Pollen Recognition, Proceedings of the 29th DAGM conference on Pattern recognition, pp.425-435, 2007.
DOI : 10.1007/978-3-540-74936-3_43

G. Csurka, C. Dance, C. Bray, L. Fan, and J. Willamowski, Visual categorization with bags of keypoints, Pattern Recognition and Machine Learning in Computer Vision Workshop, ECCV Grenoble, pp.1-22, 2004.

J. Wu, W. Tan, R. , and J. M. , Efficient and Effective Visual Codebook Generation Using Additive Kernels, Journal of Machine Learning Research. Georgia Institute of Technology, vol.12, pp.3097-3118, 2011.

R. J. López-sastre, T. Tuytelaars, F. J. Acevedo-rodríguez, and S. Maldonado-bascón, Towards a more discriminative and semantic visual vocabulary . Computer Vision and Image Understanding, pp.415-425, 2011.

E. Nowak, F. Jurie, and B. Triggs, Sampling Strategies for Bag-of-Features Image Classification, In Computer Vision ECCV Lecture Notes in Computer Science, vol.3954, pp.490-503, 2006.
DOI : 10.1007/11744085_38
URL : https://hal.archives-ouvertes.fr/hal-00203752

K. Mikolajczyk and C. Schmid, A performance evaluation of local descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.10, pp.1615-1630, 2005.
DOI : 10.1109/TPAMI.2005.188
URL : https://hal.archives-ouvertes.fr/inria-00548227

C. Schmid and R. Mohr, Local grayvalue invariants for image retrieval, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.19, issue.5, pp.530-535, 1997.
DOI : 10.1109/34.589215
URL : https://hal.archives-ouvertes.fr/inria-00548358

G. Lozano-vega, Y. Benezeth, F. Marzani, and F. Boochs, Classification of Pollen Apertures Using Bag of Words, pp.712-721, 2013.
DOI : 10.1007/978-3-642-41181-6_72
URL : https://hal.archives-ouvertes.fr/hal-00857927

T. Ojala, M. Pietikäinen, and D. Harwood, A comparative study of texture measures with classification based on feature distributions, Pattern Recognition, vol.29, 1996.

D. Huang, C. Shan, M. Ardabilian, Y. Wang, and L. Chen, Local Binary Patterns and Its Application to Facial Image Analysis: A Survey. Systems, Man, and Cybernetics , Part C: Applications and Reviews, IEEE Transactions on, vol.41, issue.6, pp.765-781, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01354386

T. Ojala, M. Pietikäinen, and T. Mäenpää, Multiresolution gray-scale and rotation invariant texture classification with local binary patterns, Computer Vision, ECCV Proceedings, Lecture Notes in Computer Science 1842, pp.404-420, 2000.
DOI : 10.1109/TPAMI.2002.1017623

H. Byun and S. Lee, Applications of support vector machines for pattern recognition: A survey, Pattern Recognition with Support Vector Machines, First International Workshop Canada, Proceedings, pp.213-236, 2002.

S. Suzuki and K. Abe, Topological Structural Analysis of Digitized Binary Images by Border Following, CVGIP, vol.30, issue.1, pp.32-46, 1985.

F. Provost and T. Fawcett, Robust Classification for Imprecise Environments, Machine Learning, pp.203-231, 2001.

G. Lozano-vega, Y. Benezeth, F. Marzani, and F. Boochs, Analysis of Relevant Features for Pollen Classification, XX XX-XX, 2014.
DOI : 10.1007/978-3-662-44654-6_39
URL : https://hal.archives-ouvertes.fr/hal-01095828