Work

Enhance Efficient of Support Vector Machine with CNN and PSO for solving Handwritten Digits Recognition

Year: 2024

Type: conference-paper

Source: International Computer Science and Engineering Conference

DOI: 10.1109/icsec62781.2024.10770723

Authors: Siwach Janprasit, Narong Punkong, Chiabwoot Ratanavilisagul, Somkiat Kosolsombat

Institutions: King Mongkut's University of Technology North Bangkok, Kanchanaburi Rajabhat University, Thammasat University

Language: English

Topic: Handwritten Text Recognition Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4404953604

FWCI: 0.229

Cites: 18

Cited by: 1

Related to: 10