Research Article
Indonesian Lip-Reading Detection and Recognition Based on Lip Shape Using Face Mesh and Long-Term Recurrent Convolutional Network
Table 6
Comparison of the results of the proposed method with previous work in MIRACL-VC1.
| Recognition methods | Detection methods | Dataset | Accuracy (%) | F1 score (%) |
| Fine-tune VGG-16 + LSTM [47] | Dlib | MIRACL-VC1 | 59 | Unspecified | Inception V3 [48] | Dlib | MIRACL-VC1 | 86.6 | Unspecified | CNN + Batch normalization [49] | Haar cascade | MIRACL-VC1 | 52.9 | Unspecified | MobileNet + LSTM [50] | HOG + SVM | Modified MIRACL-VC1 | 94 | 84 | VGG-16 + LSTM [50] | HOG + SVM | Modified MIRACL-VC1 | 96 | 70 | 3D-CNN [51] | Dlib | MIRACL-VC1 | 70.2 | Unspecified | LSTM [52] | Dlib | MIRACL-VC1 | 66 | 66 | 3D-CNN + LSTM [52] | Dlib | MIRACL-VC1 | 85 | Unspecified | LRCN-2Conv | MediaPipe | MIRACL-VC1 | 81.33 | 81 | LRCN-3Conv | MediaPipe | MIRACL-VC1 | 90.67 | 91 |
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