[Retracted] Hypertuned Deep Convolutional Neural Network for Sign Language Recognition

Table 2

Performance comparison of the proposed approach with the baseline approaches.

Ref.	No. of gestures	Recognition accuracy (%)
[30]	26 ASL gestures (A–Z)	79.83
[31]	10 ASL gestures (0–9)	91.30
[34]	10 selected gestures	83.36
[32]	26 ASL gestures (A–Z) and 36 ASL gestures (A–Z, 0–9)	93.81
[35]	30 ASL gestures (12 dynamic signs and 18 static signs)	96.41
Proposed	24 ASL gestures	99.67