Static Fingerspelling Recognition Based on Boundary Tracing Algorithm and Chain Code
Author:
Affiliation:
1. Pattern Recognition Research Group, Centre for Artificial Intelligence Technology (CAIT), The National University of Malaysia, Bangi, Malaysia
2. Centre for Assistive Technology, Multimedia University (MMU), Cyberjaya, Selangor, Malaysia
Publisher
ACM Press
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4. Gong, D., and Liu, K. 2018. A multi-objective optimization model and its evolution-based solutions for the fingertip localization problem. Pattern Recognition, Vol.74, 385--405. DIO=https://doi.org/10.1016/j.patcog.2017.09.001.
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1. Recognition of JSL fingerspelling using Deep Convolutional Neural Networks;Neurocomputing;2021-10
2. Deep CNN-Based Recognition of JSL Finger Spelling;Lecture Notes in Computer Science;2019
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