Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Sara Tehsin"'
Autor:
Sara Tehsin, Ali Hassan, Farhan Riaz, Inzamam Mashood Nasir, Norma Latif Fitriyani, Muhammad Syafrudin
Publikováno v:
Mathematics, Vol 12, Iss 17, p 2757 (2024)
In contexts requiring user authentication, such as financial, legal, and administrative systems, signature verification emerges as a pivotal biometric method. Specifically, handwritten signature verification stands out prominently for document authen
Externí odkaz:
https://doaj.org/article/3fe5add861c84ab4a868faf04ee55224
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 9, p 97 (2024)
Brain tumors are the result of irregular development of cells. It is a major cause of adult demise worldwide. Several deaths can be avoided with early brain tumor detection. Magnetic resonance imaging (MRI) for earlier brain tumor diagnosis may impro
Externí odkaz:
https://doaj.org/article/ac45c32ca1764fa3afb500055526b60d
Autor:
Dania Saleem Malik, Tariq Shah, Sara Tehsin, Inzamam Mashood Nasir, Norma Latif Fitriyani, Muhammad Syafrudin
Publikováno v:
Mathematics, Vol 12, Iss 15, p 2302 (2024)
To analyze the security of encryption, an effectual encryption scheme based on colored images utilizing the hybrid pseudo-random binary sequence (HPRBS) and substitution boxes, known as S-boxes, is proposed. The presented work aims to design S-boxes
Externí odkaz:
https://doaj.org/article/1d0422df6d6949f2a50248fc50a16560
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 622, Iss 25, Pp 421-427 (2019)
People with low vision find it difficult to socialize publicly due to lack of face recognition ability. Robust assistive solutions are available but either those are too heavy on the pocket or are not wearable. In this paper, we have proposed a low c
Externí odkaz:
https://doaj.org/article/0310996c52f047dab17c4459e829a7d6
Autor:
Sara Tehsin, Saad Rehman, Muhammad Omer Bin Saeed, Farhan Riaz, Ali Hassan, Muhammad Abbas, Rupert Young, Mohammad S. Alam
Publikováno v:
IEEE Access, Vol 5, Pp 24495-24502 (2017)
Advanced correlation filters are an effective tool for target detection within a particular class. Most correlation filters are derived from a complex filter equation leading to a closed form filter solution. The response of the correlation filter de
Externí odkaz:
https://doaj.org/article/4cef6eafda3346b787f9fe9c5891b2ad
Autor:
Inzamam Mashood Nasir, Sara Tehsin
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SPIE Future Sensing Technologies.
Ensuring the actual presence of a genuine legitimate trait as opposed to a fake self-manufactured synthetic is a major problem in bio-metric authentication. The proposed system's objective is to improve the reliability of bio metric recognition syste
Publikováno v:
Pattern Recognition and Tracking XXXI.
Detection of a moving human is challenging for real-time systems. Misdetection in high alert security areas may lead to heavy losses. This paper presents an optimized approach to avoid this misdetection in sensitive areas. Rotation invariant optimize
Autor:
Muhammad Omer Bin Saeed, Saad Rehman, Mohammad S. Alam, Muhammad Abbas, Ali Hassan, Farhan Riaz, Rupert Young, Sara Tehsin
Publikováno v:
IEEE Access, Vol 5, Pp 24495-24502 (2017)
Advanced correlation filters are an effective tool for target detection within a particular class. Most correlation filters are derived from a complex filter equation leading to a closed form filter solution. The response of the correlation filter de
Autor:
Sara Tehsin, Omer Saeed, Muhammad Abbas, Qaiser Chaudry, Saad Rehman, Ahmed Bilal, Rupert Young
Publikováno v:
SPIE Proceedings.
Correlation filters are a well established means for target recognition tasks. However, the unintentional effect of circular correlation has a negative influence on the performance of correlation filters as they are implemented in frequency domain. T