Palm Image description:
The provided palm image set “Palm_Image.zip” contains 1000 processed palm
image files from 100 people (10 per each user). The format of file name is
“(USER_ID)_l_(SAMPLE).txt”, (USER_ID) is the ID of user, l is the small letter
“L” and (SAMPLE) is the sample number for the user(USER_ID). The order and
contents of the image file as following:
First line
Second line
.
 (Image_height) (Image_width)
 [1st byte] . . . . . . . . . . . . . . . . . [(Image_width)th byte]
.
.
(Image_height)th line 
.
[1st byte] . . . . . . . . . . . . . . . . . [(Image_width)th byte]
The first line gives the size of the palm which is the height (Image_height) and width
(Image_width) of the palm image. Different people have different palm sizes. The
next (Image_height) lines form an (Image_height) X (Image_width) matrix. For
example, the second line of the file contains the first row of information of the image.
The number stored in the matrix is in BYTE format, which means we use one byte
(8-bits, 0-255) to store the pixel intensity value for an image. Therefore, you have to
specify the input format (e.g. fscanf() function in C language) when you read the file
from your program.
An introduction of image processing
The provided images (image files) are in Gray level scale, which is the range from
white to black. For image processing, we normally use 8-bit number (BYTE) to store
the pixel information of a gray level image. The range of a BYTE (8-bit number) is
from 0 to 255. Zero represents black color, and 255 represents white color.
Line or edge detector
The provided images (image files) are raw image. It means you may want to extract
the principle lines from the palm image for the feature vector. The simplest way to
extract lines from an image is to apply a line/edge detection filter. Details of these
filters can be found in the following web pages:
 Line detector - http://homepages.inf.ed.ac.uk/rbf/HIPR2/linedet.htm#1
 Edge detector - http://homepages.inf.ed.ac.uk/rbf/HIPR2/edgdetct.htm#1
Sample palm image
A sample of the palm image is here!