首页|Studies Conducted at University Tenaga Nasional on Intelligent Systems Recently Published (Review of iris segmentation and recognition using deep learning to im prove biometric application)
Studies Conducted at University Tenaga Nasional on Intelligent Systems Recently Published (Review of iris segmentation and recognition using deep learning to im prove biometric application)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on in telligent systems. According to news originating from Selangor, Malaysia, by New sRx editors, the research stated, "Biometric recognition is essential for identi fying people in security, surveillance, and mobile device authentication. Iris r ecognition (IR) biometrics is exact because it uses unique iris patterns to iden tify individuals." The news journalists obtained a quote from the research from University Tenaga N asional: "Iris segmentation, which isolates the iris from the rest of the ocular image, determines iris identification accuracy. The main problem is concerned w ith selecting the best deep learning (DL) algorithm to classify and estimate bio metric iris biometric iris. This study proposed a comprehensive review of DL-bas ed methods to improve biometric iris segmentation and recognition. It also evalu ates reliability, specificity, memory, and F-score. It was reviewed with iris image analysis, edge detection, and classifica tion literature. DL improves iris segmentation and identification in biometric a uthentication, especially when combined with additional biometric modalities lik e fingerprint fusion. Besides, that DL in iris detection requires large training datasets and is challenging to use with noisy or low-quality photos."
University Tenaga NasionalSelangorMa laysiaAsiaIntelligent SystemsMachine Learning
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