000			03376nam a22002657a 4500
003			KOHA
005			20240923111431.0
008			240912d2024 cy dj||| |||| 00| 0 eng d
040			_aCY-NiCIU _beng _cCY-NiCIU _erda
041			_aeng
090			_aYL 3453 _bI27 2024
100	1		_aIbrahim, Sufıan Olayınka
245	1	0	_aIDENTITY PREDICTION FROM ONLINE HANDWRITING BIOMETRICS / _cSUFIAN OLAYINKA IBRAHIM ; SUPERVISOR, ASST. PROF. DR. YASEMIN BAY AZYEREN
264			_c2024
300			_a53 sheets; _e+ 1 CD ROM _c30 cm
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
502			_aThesis (MSc) - Cyprus International University. Institute of Graduate Studies and Research Management Information Systems
520			_aIn the quickly changing world of today, it is more important than ever to correctly determine and confirm people's identities. By leading the development of an advanced system that uses online handwriting biometrics to dramatically alter the identity prediction process, this project is well-positioned to address this growing requirement. The core of this project is a thorough investigation of 42 unique characteristics that are present in the field of online handwriting biometrics. The project attempts to find and prioritize the most discriminative features, guaranteeing the robustness and reliability of the final system, through careful research and rigorous testing. Focusing on these essential characteristics will allow the system to capture the core of a person's handwriting style, making it highly confident in its ability to forecast that person's identity. The use of cutting-edge classification approaches, which will form the foundation of the identification prediction process, is essential to the project's success. By utilizing methods from pattern recognition and machine learning, these approaches will sort through enormous volumes of data and identify minute connections and patterns that could escape human scrutiny. Iteratively improving and optimizing, the system will keep improving its ability to predict handwriting patterns, allowing it to adjust to changing situations and be useful in a variety of settings. The goal of this project is to transform identity authentication by establishing a connection between state-of-the-art technical innovations and conventional verification techniques. Creating a framework that is more inclusive and accessible to everyone is the ultimate aim, going beyond simply optimizing current procedures. With the ability to improve security, fight fraud, and preserve the integrity of vital systems and services, this technology has a wide range of potential uses in the fields of banking, healthcare, and law enforcement. Essentially, this initiative marks a paradigm shift in how we address the fundamental subject of identity verification in the digital era, representing more than just a technological advance. In an increasingly connected world, we have the chance to not only improve and expedite current procedures but also open up new avenues for security, effectiveness, and trust by utilizing online handwriting biometrics.
650		0	_aManagement Information Systems _vDissertations, Academic
700	1		_aAzyeren, Yasemin Bay _esupervisor
942			_2ddc _cTS
999			_c292748 _d292748