The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Analysis and Classification: Theory and Practice
Shape Analysis and Classification: Theory and Practice
Efficient retrieval of similar shapes
The VLDB Journal — The International Journal on Very Large Data Bases
Two Dimensional Generalized Edge Detector
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Multiscale Fourier descriptors for defect image retrieval
Pattern Recognition Letters
Evaluation of shape similarity measurement methods for spine X-ray images
Journal of Visual Communication and Image Representation
Comparison and fusion of multiresolution features for texture classification
Pattern Recognition Letters
Oriented filters for object recognition: an empirical study
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
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This paper presents an affine invariant shape descriptor which could be applied to both binary and gray-level images. The proposed algorithm uses gradient based features which are extracted along the object boundaries. We use two-dimensional steerable G-Filters [1] to obtain gradient information at different orientations. We aggregate the gradients into a shape signature. The signatures derived from rotated objects are shifted versions of the signatures derived from the original object. The shape descriptor is defined as the Fourier transform of the signature. We also provide a distance definition for the proposed descriptor taking shifted property of the signature into account. The performance of the proposed descriptor is evaluated over a database containing license plate characters. The experiments show that the devised method outperforms other well-known Fourier-based shape descriptors such as centroid distance and boundary curvature.