Mobile Sign Language Recognition (SLR) system from backhand view is proposed.
Signs are divided into two groups and applied appropriate tools for each group.
Combination between 1D signal and DWT is used to differentiate fist signs.
Block mask and quantized area distribution precisely recognize non-fist signs.