A description on the approaches to brushwork analysis and artist identification within the framework of data set is given. Image processing is now a reality in painting analysis as high resolution and richer data are also available. A summary on the results that are obtained by several groups are presented who uses wavelet decomposition of the same data set. Better results can easily be achieved with the use of wider range of signal analysis tools. Furthermore, there is a growth within interested researchers, targeted conference sessions, and specialist workshops regarding painting analysis.