Multi-feature Digit Dataset
| Domain | Image Recognition |
| Media | Image |
| Size | |
| Instances | 2000 |
| File Format | ASCII |
| Creation Date | |
| Task | Handwriting Recognition |
| Copyright | |
| URL | http://archive.ics.uci.edu/ml/datasets/Multiple+Features |
Description
This dataset consists of features of handwritten numerals (`0'--`9') extracted from a collection of Dutch utility maps. 200 patterns per class (for a total of 2,000 patterns) have been digitized in binary images.
The source image dataset is lost. Using the pixel-dataset (mfeat-pix) sampled versions of the original images may be obtained (15 x 16 pixels).
Quality
Source
Owned and donated by:
Robert P.W. Duin Department of Applied Physics Delft University of Technology P.O. Box 5046, 2600 GA Delft The Netherlands
Ground Truth Annotation
10 classes: handwritten numerals (`0'--`9')
Features
These digits are represented in terms of the following six feature sets (files):
- mfeat-fou: 76 Fourier coefficients of the character shapes;
- mfeat-fac: 216 profile correlations;
- mfeat-kar: 64 Karhunen-Love coefficients;
- mfeat-pix: 240 pixel averages in 2 x 3 windows;
- mfeat-zer: 47 Zernike moments;
- mfeat-mor: 6 morphological features.
In each file the 2000 patterns are stored in ASCI on 2000 lines. The first 200 patterns are of class `0', followed by sets of 200 patterns for each of the classes `1' - `9'. Corresponding patterns in different feature sets (files) correspond to the same original character.
number of attributes: 649 (distributed over 6 datasets,see above) (Some are integer, others are real; no missing attributes)
Attributes are SPACE separated and can be loaded by Matlab as > load filename
Copyright Remarks
Citation
M. van Breukelen, R.P.W. Duin, D.M.J. Tax, and J.E. den Hartog, Handwritten digit recognition by combined classifiers, Kybernetika, vol. 34, no. 4, 1998, 381-386. http://rexa.info/paper/76afd3f8caf9d74d3a3845ad5f7a5517bca39a64
M. van Breukelen and R.P.W. Duin, Neural Network Initialization by Combined Classifiers, in: A.K. Jain, S. Venkatesh, B.C. Lovell (eds.), ICPR'98, Proc. 14th Int. Conference on Pattern Recognition (Brisbane, Aug. 16-20),
A.K. Jain, R.P.W. Duin, J. Mao, Statisitcal Pattern Recognition: A Review, in preparation
