Journal of Cybersecurity and Information Management JCIM 2690-6775 2769-7851 10.54216/JCIM https://www.americaspg.com/journals/show/3593 2019 2019 College of Engineering, University of Diyala, Baqubah, Iraq Lara Lara Continuous education center, University of Anbar, Ramadi, Iraq Hadeel M Saleh Department of Soil Sciences and Water Resources, College of Agriculture, University of Diyala, Baqubah, Iraq Asraa Y. .. School of Computer Sciences Universiti Sains Malaysia (USM) Penang, Malaysia Lara Ahmad Ghasab Almashagba Department of General Foundation programme, Al Zahra College for women, Muscat , Sultanate of Oman Fathiya Al Abri Biometric data is becoming increasingly valuable because of its uniqueness, and digital watermarking techniques are used to protect it. This paper presents a new method of hiding Palmprint images using wavelet decomposition and Encrypting Visual Information (EVI). EVI is a technique for securing Palmprint print images that has been extensively studied in this report. By embedding the Palmprint image in the cover image, and then using wavelet transformation, this output image can be decomposed into four segments (Segment Low Low, Segment Low High, Segment High Low, and Segment High High). A compressor is placed at the sender site to compress these four segments. DWT is obtained at the receiver side and then the bit-matching procedure is applied to obtain the original palmprint image. Using data concealing and EVI implementations on biometrics, palmprints, and related textual information can be protected from identity fraud. The watermarked cover images and palmprints, which could be used for authentication, have been improved from the existing approach. By reducing the segment size, quality is achieved along with higher security and bandwidth reduction. In addition, the three least significant bits are successfully applied to increase the length of a secret message while retaining palmprint quality. 2025 2025 99 106 10.54216/JCIM.160108 https://www.americaspg.com/articleinfo/2/show/3593