首页|Study Results from Babylon University Update Understanding of Support Vector Mac hines (Iris Identification Based on SVM-CNN Method)

Study Results from Babylon University Update Understanding of Support Vector Mac hines (Iris Identification Based on SVM-CNN Method)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on support vector ma chines are discussed in a new report. According to news reporting from Babylon University by NewsRx journalists, research stated, “A person is automatically recognized in a biometric system by analyzing their distinct traits. Most people ag ree that iris recognition is the most accurate and dependable biometric identifi cation method currently in use.”

Babylon UniversityEmerging TechnologiesIris RecognitionMachine LearningSupport Vector Machines

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.22)