【图像识别】基于模板匹配算法实现英文印刷字符识别matlab代码

1 简介2 部分代码function MainForm global bw; global bl; global bll; global s; global fontSize; global charpic; global hMainFig; global pic; global hText; clc; close all; warning off all; if ~exist(fullfile(pwd, pic), dir) mkdir(fullfile(pwd, pic)); end picname fullfile(pwd, image.jpg); pic imread(picname); s size(pic); if length(s) 3 pic rgb2gray(pic); end bw im2bw(pic, 0.7); bw ~bw; for i 1 : s(1) if sum(bw(i,:) ~0) 0 FontSize_s i; break; end end for i FontSize_s : s(1) if sum(bw(i,:) ~0) 0 FontSize_e i; break; end end FontSizeT FontSize_e - FontSize_s; fontName 宋体; fontSize FontSizeT; bw1 imclose(bw, strel(line, 4, 90)); bw2 bwareaopen(bw1, 20); bwi2 bwselect(bw2, 368, 483, 4); bw2(bwi2) 0; bw3 bw .* bw2; bw4 imclose(bw3, strel(square, 4)); [Lbw4, numbw4] bwlabel(bw4); stats regionprops(Lbw4); for i 1 : numbw4 tempBound stats(i).BoundingBox; tempPic imcrop(pic, tempBound); tempStr fullfile(pwd, sprintf(pic\\%03d.jpg, i)); imwrite(tempPic, tempStr); end [bl, num] bwlabel(bw1, 4); chars [char(uint8(A):uint8(Z)), uint8(a):uint8(z), uint8(0):uint8(9)]; eleLen length(chars); charpic cell(1,eleLen); hf1 figure(Visible, Off); imshow(zeros(32,32)); h text(15, 15, a, Color, w, Fontname, fontName, FontSize, fontSize); for p 1 : eleLen set(h, String, chars(p)); fh getframe(hf1, [85, 58, 30, 30]); temp fh.cdata; temp im2bw(temp, 0.2); [r, c] find(temp 0); rect [min(c) min(r) max(c)-min(c) max(r)-min(r)]; temp imcrop(temp, rect); [f1, f2] find(temp 1); sz size(temp); temp temp(max(1, min(f1)-1):min(max(f1)1, sz(1)),max(1, min(f2)-1):min(max(f2)1, sz(2))); charpic{p} temp; end delete(hf1); bll zeros(size(bl)); for i 1:num [f1, f2] find(bl i); bll(min(f1):max(f1), min(f2):max(f2)) i; end hMainFig figure(1); imshow(picname, Border, loose); hold on; for i 1 : numbw4 tempBound stats(i).BoundingBox; rectangle(Position, tempBound, EdgeColor, r); end hText axes(Units, Normalized, Position, [0 0 0.1 0.1]); axis off; set(hMainFig, WindowButtonMotionFcn, ShowPointData); end function ShowPointData(hObject, eventdata, handles) global bw; global bl; global bll; global s; global charpic; global hMainFig; global pic; global hText; p get(gca,currentpoint); x p(3); y p(1); if x1 || xs(1) || y1 || ys(2) return; end curlabel bll(uint32(x), uint32(y)); if curlabel ~ 0 [f1, f2] find(bl curlabel); minx min(f1); maxx max(f1); miny min(f2); maxy max(f2); tempic pic(minx:maxx, miny:maxy); temp bw(minx:maxx, miny:maxy); tempIm zeros(round(size(temp)*2)); tempIm logical(tempIm); tempIm(round((size(tempIm, 1)-size(temp, 1))/2):round((size(tempIm, 1)-size(temp, 1))/2)size(temp, 1)-1, ... round((size(tempIm, 2)-size(temp, 2))/2):round((size(tempIm, 2)-size(temp, 2))/2)size(temp, 2)-1) temp; set(0, CurrentFigure, hMainFig); imshow(tempIm, [], Parent, hText); mincost 100000; mark 1; for i 1 : length(charpic) temp1 charpic{i}; ss size(temp); temp1 imresize(temp1, ss); % tempcost sum(sum(abs(temp - temp1))); tempcost norm(temp - temp1); if tempcost mincost mincost tempcost; mark i; end end end end3 仿真结果4 参考文献[1]赖特. 基于模板匹配及人工神经网络算法的图像识别应用——MATLAB实现机动车牌号码辨识. 智能建筑与智慧城市 11(2017):5.部分理论引用网络文献若有侵权联系博主删除。​