Enhancing Communication: Recognition of American Sign Language Finger Spelling

Khosla, Tejna, Bansal, Deepika and Gupta, Punit (2025) Enhancing Communication: Recognition of American Sign Language Finger Spelling. In: Generative Artificial Intelligence: Technology and Applications. CRC Press, Boca Raton, pp. 260-276. ISBN 978-100356570-3

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Abstract

For hearing and deaf individuals, sign language is a crucial communication tool. Real and accurate sign language recognition remains a technological hurdle. The proposed analysis presents a new fingerprint marker using OpenCV and MediaPipe programming integration. The recommended method uses MediaPipe Model Maker to facilitate transfer training. Machine learning models built on multiple datasets are combined for gesture recognition. The research aims to improve access with a real cross-platform solution for fingerprint interpretation. While this effort provides significant benefits such as reduced implementation costs, it also addresses issues related to system limitations and industrial accuracy. Research projects improve assistive technology and enable and encourage the inclusion of deaf people. The proposed method has high resolution and good accuracy.

Item Type:	Book Section
Uncontrolled Keywords:	American sign language; Finger spelling; Palmprint recognition
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence > Computer vision Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence > Computer vision P Language and Literature > P Philology. Linguistics > Semiotics > Language. Linguistic theory > Gesture. Sign language
Divisions:	School of Computing > Staff Research and Publications
Depositing User:	Tamara Malone
Date Deposited:	14 Jan 2026 11:54
Last Modified:	14 Jan 2026 11:54
URI:	https://norma.ncirl.ie/id/eprint/9103

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