Online sumarians cuneiform detection based on symbol structural vector algorithm

Abstract EN

The cuneiform images need many processes in order to know their contents and by using image enhancement to clarify the objects (symbols) founded in the image.

The Vector used for classifying the symbol called symbol structural vector (SSV) it which is built from the information wedges in the symbol.

The experimental tests show in some numbers and various relevancy including various drawings in online method.

The results are high accuracy in this research, and methods and algorithms programmed using a visual basic 6.0.

In this research more than one method was applied to extract information from the digital images of cuneiform tablets, in order to identify most of signs of Sumerian cuneiform.