Abstract—The paper introduces TaAl–Lip: Application of Artificial Neural Network in Recognition of Select Tagalog Alphabet through Lip Reading. It is an experimental study designed to determine the accuracy of the recognition of select Tagalog alphabet or also known as the ABAKADA Alphabet. It utilized Artificial Neural Network (ANN), Computer Vision (CV), Macropixelling, and Image Processing (IP) to develop a tool that can recognize mouth’s movement by means of lip reading.
After the tool was developed the degree of accuracy of the recognition of the application was evaluated by the proponents according to the: (a) light orientation; (b) viewing angle and (c) the user’s distance from the camera. Based on the experiment conducted, the researchers concluded that the mouth’s movement is most recognizable with a front side light orientation with an average of 70.34%.
Index Terms—Lip reading, artificial neural network, macropixelling, image processing, computer vision.
The authors are with the College of Computer and Information Sciences, Polytechnic University of the Philippines, Sta. Mesa, Philippines (e-mail: olivermembrere@yahoo.com, reysupan7@yahoo.com, jackilynmagtoto@yahoo.com, Miles_kev21@yahoo.com, bennycomendador@yahoo.com, rmmontaril@yahoo.com).
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Cite:Oliver M. Membrere, Reynaldo M. Supan, Jackilyn C. Magtoto, Miles Kevin B. Galario, Benilda Eleonor V. Comendador, and Ranil M. Montaril, "TaAl-Lip: Application of Artificial Neural Network in Recognition of Select Tagalog Alphabet through Lip Reading," Journal of Advances in Computer Networks vol. 2, no. 4, pp. 293-298, 2014.
