Stylometry of painting techniques - A Survey

To discover a scientific relationship for art is an interesting and challenging problem. Recognition of artist Identification and stylometry of painting have been important issues at artwork. Image processing techniques can be an effective solution for resolving these problem. To the best of our knowledge, these problems have not been widely investigated. This paper presents a comprehensive survey about both proposed stylometry approaches and artist identification. Finally, It also compares and summarizes all reviewed methods.

کلیدواژه ها:

Stylometry of painting ، Artist identification ، Machine learning ، Image processing ، Classification