• S. Priya

Palmprint has attracted the recent researchers and is mostly studied due of its reliability, stability, distinctiveness and environment flexibility. This trait is mostly used in forensic applications rather than commercial applications to identify an individual based on ridge features. Images used in forensic applications are high resolution latent images which are almost partial. Moreover, the time interval between the impression left on the surface and the scanning of the latent print by the forensic experts produces noise and distortion which is a challenging one for palmprint authentication system. This research paper describes the novel ridge based techniques to be used in the palm authentication system which is then compared with that of the existing method. An enhanced Gaussian filter is designed to recover the broken ridges interrupted by both relatively wide and small creases, which significantly improved the efficiency of ridge extraction algorithm. Moreover features such as ridge orientation and ridge frequency were extracted and matched. Experiments were carried out on public high-resolution palmprint database and the results proved the effectiveness of the proposed method.

Palmprint, Ridges, Gaussian filter, Ridge orientation, Ridge frequency.

"A HIGH RESOLUTION PALMPRINT IDENTIFICATION USING NOVEL RIDGE EXTRACTION AND MATCHING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.774-783, January-2019, Available :http://www.jetir.org/papers/JETIR1901C05.pdf

"A HIGH RESOLUTION PALMPRINT IDENTIFICATION USING NOVEL RIDGE EXTRACTION AND MATCHING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp774-783, January-2019, Available at : http://www.jetir.org/papers/JETIR1901C05.pdf