Improvement Palmprint Recognition System by Adjusting Image Data Reference Points

Abstract

Nowadays, the palmprint recognition method is an attractive tool for people recognition besides face recognition and fingerprint. To get a good palmprint recognition system requires a series of algorithms that are united and worked together to create a preferred method. The biometric system in palmprint recognition is said to be preferred when the choice of the algorithm applied has the advantage of each phase. Generally, The palmprint recognition system starts from the selection of image filters, image positioning, dimension reduction, and finally, end with the distance method. Image normalization position is a problem for researchers because the palmprint is always moving and shows a curved shape making it difficult for the system in the identification and verification process. For this reason, the research focuses on the selection of orientation scale operator value from the Gabor technique to get the best parameter value for palmprint biometrics. The desired system is when the overall performance of the algorithm used will produce an output with a low EER value and a high level of verification. From the research that has been carried out, the range of 8 × 5 becomes a good alternative for the choice of Gabor value pairs.

Image enhancement in palmprint recognition: a novel approach for improved biometric authentication

“…Subsequently, from the image that has been filtered with 3W, namely the image Î, further processing is carried out using the Gabor scale (ϕ) and orientation (κ) methods, dimension reduction, and distance matching methods. Selecting the appropriate image filter method, determining the Gabor orientation scale, applying suitable dimension reduction techniques, and using accurate distance methods will create an optimal biometric system [33]. The palmprint recognition system's advantage is that it meets the criteria with low values for FRR, FAR, and EER and has a high value for verification.…”

Palmprint recognition based on gating mechanism and adaptive feature fusion

“…To validate the effectiveness of the proposed method in palmprint recognition, several state-of-the-art recognition methods that were tested on the Tongji palmprint dataset and the Poly-U palmprint dataset benchmarks are compared. This includes the proposed traditional descriptor-based palmprint recognition methods (Fei et al, 2020c(Fei et al, , 2022Jia et al, 2020;Zhou et al, 2020;Kusban, 2021;Li et al, 2022;Zhao et al, 2022) and the deep learning-based palmprint recognition methods (Alrahawe et al, 2021;Jia et al, 2021;Jing et al, 2021;Fei et al, 2022). A brief description of these methods is given in Table 1.…”

Sistem Pendukung Keputusan Seleksi Penerima Program Bantuan Sosial Menggunakan Metode SAW

“…Semua fase yang ada harus diselesaikan secara bertahap satu persatu secara berurutan dan dapat pindah ke fase berikutnya jika sudah selesai melewati fase sebelumnya [12]. Tahapan urut penelitian tidak dapat dibalik prosesnya sebagaimana proses pengenalan rajah tapak tangan [13]- [18]. Gambar 1 menunjukan tahapan metode Waterfall.…”