optdigits {matchFeat}

Handwritten Digits Data

Description

Digitized images of handwritten digits used in optical recognition tasks

Usage

data("optdigits")

Format

The format is:
List of 2
$ x : int [1:1000, 1:64] 0 0 0 0 0 0 0 0 0 0 ...
$ label: int [1:1000] 0 1 2 3 4 5 6 7 8 9 ...

Details

This is a subset of a larger dataset containing handwritten digits contributed by 30 people on a preprinted form. The forms were converted to normalized bitmaps of size 32x32 which were divided into nonoverlapping blocks of size 4x4. The number of pixels was counted in each block, producing a matrix of size 8x8 with integer coefficients ranging in 0..16. These matrix are vectorized in the rows of optdigits$x. The corresponding digits are in optdigits$label. 100 examples are available for each digit 0..9.

Source

UCI Machine Learning Repository. https://archive.ics.uci.edu/ml/datasets/Optical+Recognition+of+Handwritten+Digits

References

Alpaydin and Kaynak (1998). Cascading Classifiers. ftp://ftp.icsi.berkeley.edu/pub/ai/ethem/kyb.ps.Z

Examples

data(optdigits)
## Quick visualization
oldpar <- par(no.readonly = TRUE)
par(mfrow=c(2,5))
for (i in 1:10) {
	mat <- matrix(optdigits$x[i,],8,8)
	image(mat[,8:1], xaxt="n", yaxt="n")
	title(optdigits$label[i])
}
par(oldpar)