• diksha Bansal
• P.S. Mann

Biometric verification is any means by which a person can be uniquely identified by evaluating one or more distinguishing biological traits. Unique identifiers include fingerprints, hand geometry, earlobe geometry, retina and iris patterns, voice waves;Gabor filters generate different frequencies and orientations which help it to extract useful features of an image. So, basically it helps to generate a threshold value of an image on the basis of which different and suitable frequencies and orientation points are generated. These generated points help in the image recognition process of an image. Also the technique of KNN in combination with Gabor filters and another approach of Gabor & WPLI help in the recognition process of a palmprint with better results and performance. Among all the best results is achieved using LLDP approach where verification results are 100%. In our experiments, we have implemented the improved LLDP (iLLDP) approach along with genetic algorithm to improve the Receiver Operating Characteristic curve (ROC), Correct Recognition Rate (CRR) and reduce the time complexity for the palmprint recognition technique. By improving these 3 parameters we have successfully attained better palmprint recognition as compared to the existing LLDP approach. With iLLDP approach we have achieved better recognition results along with verification of palmprint.

Palmprint,LLDP,iLLDP

"Palmprint Identification Using Genetic Based Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.45-49, September-2018, Available :http://www.jetir.org/papers/JETIR1809008.pdf

"Palmprint Identification Using Genetic Based Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp45-49, September-2018, Available at : http://www.jetir.org/papers/JETIR1809008.pdf