Oral Presentation , Page 312-316 (5)

Volume Title: 2nd IEEE International Conference on Electronic Eng., Faculty of Electronic Eng., Menouf, Egypt, 3-4 July. 2021

¹Fatma El-Zahraa Abd El-Sattar Tawfiq ; ¹Mohamed Rihan Emam; ²Adel shaker el fishawy; ³Fathi El-Syed Abd El-SAmie; ⁴ghada Mohammed banby; ⁵noha elhag; ⁶Ashraf Khalaf

¹Communications and Electronics Department Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt

²Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University, Egypt

³Minufia- Egypt

⁴Department of Industrial electronics and control engineering Engineering Faculty of Electronic Engineering Menoufia University: Menouf, Egypt

⁵Department of Electronics and Electrical Communications Engineering Faculty of Engineering, Minia University, Egypt

⁶Electrical engineering Department Faculty of Engineering,Minia University:Egypt

Nowadays, different systems and applications secure personal data using the person's biometric feature . Face, fingerprint, hand geometry, palm print, iris, voice, signature are examples of biometric traits. This paper proposes fuzzy enhancement technique for generating more efficient and clear face images. Since images were captured in various settings, the output images may have weaknesses for example poor quality and low level of comparison. This paper adopt the fuzzy enhancement method; it is considered as a significant tool to obtaining more accuracy images.. This approach improves the imperfections in the images according to both quantitative and qualitative metrics. The proposed solution improves efficiency, as shown by numerical results.

Fuzzy Enhancement Technique; Face Recognition; Gamma Correction; Histogram equalization