Hello I would to ask. are my code for Palm Vein are correct? and is this all for the future extraction? and 1 more question what is the best classifier that suit with my future extraction? if may can i have any coding to help me. thank you?

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clear; close all; clc; clear variables; %% % Howto use the miura_* scripts.
img = im2double(imread('RightFive.bmp')); % Read the image
% img=img(:,:,1);
img=imcrop(img,[199.5 121.5 248 253]);
figure(1); imshow(img); title('Original Captured Image') %%
% img = imresize(img,0.8); % Downscale image
% Get the valid region, this is a binary mask which indicates the region of % the finger. For quick testing it is possible to use something like: % fvr = ones(size(img)); fvr = lee_region(img,40,200); % Get finger region
figure(2); imshow(fvr) title('Detected Finger Region') %% Extract veins using maximum curvature method % Filter Kernels Method sigma = 3; % Parameter v_max_curvature = miura_max_curvature(img,fvr,sigma);
% Binarise the vein image md = median(v_max_curvature(v_max_curvature>0)); v_max_curvature_bin = v_max_curvature > md;
figure(3); imshow(v_max_curvature_bin) title('Binarised Veins Extracted by Maximum Curvature Method')
%% thinning K=bwmorph(v_max_curvature_bin,'thin',Inf); figure(4) , imshow(K); % set(gcf,'position',[1 1 600 600]); title('Thinning');
%% CLEAN bw =bwmorph(K,'clean'); figure(5), imshow(bw), title ('Clean');
%% v_max_curvature_bin3= bwmorph(bw,'shrink'); figure, imshow(v_max_curvature_bin3) v_max_curvature_bin1= bwmorph(bw,'bridge'); figure, imshow(v_max_curvature_bin1), title ('bridge'); v_max_curvature_bin2 = bwmorph(bw,'thin',Inf); figure, imshow(v_max_curvature_bin2), title ('thin'); Visualise Overlay the extracted veins on the original image overlay_max_curvature = zeros([size(img) 3]); overlay_max_curvature(:,:,1) = img; overlay_max_curvature(:,:,2) = img + 0.4*v_max_curvature_bin; overlay_max_curvature(:,:,3) = img; figure; imshow(overlay_max_curvature) title('Maximum curvature method')

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