The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Braille-Lippi Numbers and Characters Detection and Announcement System for Blind Children Using KSK Approach: AI-Driven Decision-Making Approach
Abstract
In order to develop a Braille-Lippi character recognition system, a number of different strategies and procedures have been utilized, with the KSK Approach being the primary tool utilized. When doing analysis, the KSK Approach makes use of DT, ANN, and K-NN classifiers. In comparison to other computational methods, the KSK Approach is superior in terms of its efficiency and reliability when it comes to recognising Braille characters. The page contains the results of testing and system development, as well as the technique, design, and architecture of the Braille character recognition system, which has a 99% accuracy rate. This also makes it possible to use the Voicing System, which is responsible for announcing the letter that has been recognized.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|