Abstract:
This paper presents a person-specific
subspace method for ASL characters recognition.
To implement this person specific subspace method
for ASL characters recognition the system first
recognizes the faces and then uses skin-color
segmentation method for hand poses segmentation.
From the segmented hand poses the system
recognizes ASL characters using both PCA and
person-specific subspace method separately.
Experiment result shows that the classification
accuracy of person-specific subspace method is
better than general PCA method. The experiment
result also shows that person-specific subspace
method is faster than general PCA method
