• Vineetha John Tharakan
• Mr.Chandrashekar N S

Reliable authorization and authentication has become al part of our life for a number of routine applications.Majority of the authentication systems found today are not very flexible. Hence,biometric identification methods are quickly becoming commonplace in security and access control applications.This paper mainly focusses on providing higher and strict security in military environments for the access of nuclear weapons and their research sites by using the most accurate and reliable of the biometric technologies which is the palmprint recognition.The proposed work is to demonstrate an effective feature representation model for palmprint recognition using the concept based on ordinal measures and it presents a palmprint recognition using ordinal features.It is to provide all intra and interclass matching pairs well separated with a large margin. In order to obtain effective feature set for palmprint recognition is done by firstly, segmenting the hand and then the palmprint region is extracted. The tangent based approach is used for the segmentation. Ordinal features are then extracted and hamming distance based matching is performed. High efficiency is to be achieved even on a large-scale feature pool and training database.

Palmprint recognition, Gabor filter, MatLAB, Ordinal measures

"Palmprint Recognition based on ordinal features for military security", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 6, page no.188-191, June-2017, Available :http://www.jetir.org/papers/JETIR1706042.pdf

"Palmprint Recognition based on ordinal features for military security", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 6, page no. pp188-191, June-2017, Available at : http://www.jetir.org/papers/JETIR1706042.pdf