How to read image character with OCR?
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Hi can you help me please.
I have a problem with my program, my ocr program doesn't read letters, it reads only the number '1' which I think is coming from 'else' in file read.m.
And why does this one have a double result?
read.m
function letter=read(imagn,num_letras)
global templates
comp=[ ];
for n=1:num_letras
sem=corr2(templates{1,n},imagn);
comp=[comp sem];
end
vd=find(comp==max(comp));
%*-*-*-*-*-*-*-*-*-*-*-*-*-
if vd==1
letter='ha';
elseif vd==2
letter='na';
elseif vd==3
letter='ca';
elseif vd==4
letter='ra';
elseif vd==5
letter='ka';
elseif vd==6
letter='da';
elseif vd==7
letter='ta';
elseif vd==8
letter='sa';
elseif vd==9
letter='wa';
elseif vd==10
letter='la';
elseif vd==11
letter='pa';
elseif vd==12
letter='dha';
elseif vd==13
letter='ja';
elseif vd==14
letter='ya';
elseif vd==15
letter='nya';
elseif vd==16
letter='ma';
elseif vd==17
letter='ga';
elseif vd==18
letter='ba';
elseif vd==19
letter='tha';
elseif vd==20
letter='nga';
elseif vd==21
letter='hi';
elseif vd==22
letter='ni';
elseif vd==23
letter='ci';
elseif vd==24
letter='ri';
elseif vd==25
letter='ki';
elseif vd==26
letter='di';
elseif vd==27
letter='ti';
elseif vd==28
letter='si';
elseif vd==29
letter='wi';
elseif vd==30
letter='li';
elseif vd==31
letter='pi';
elseif vd==32
letter='dhi';
elseif vd==33
letter='ji';
elseif vd==34
letter='yi';
elseif vd==35
letter='nyi';
elseif vd==36
letter='mi';
elseif vd==37
letter='gi';
elseif vd==38
letter='bi';
elseif vd==39
letter='thi';
elseif vd==40
letter='ngi';
elseif vd==41
letter='hu';
elseif vd==42
letter='nu';
elseif vd==43
letter='cu';
elseif vd==44
letter='ru';
elseif vd==45
letter='ku';
elseif vd==46
letter='du';
elseif vd==47
letter='tu';
elseif vd==48
letter='su';
elseif vd==49
letter='wu';
elseif vd==50
letter='lu';
elseif vd==51
letter='pu';
elseif vd==52
letter='dhu';
elseif vd==53
letter='ju';
elseif vd==54
letter='yu';
elseif vd==55
letter='nyu';
elseif vd==56
letter='mu';
elseif vd==57
letter='gu';
elseif vd==58
letter='bu';
elseif vd==59
letter='thu';
elseif vd==60
letter='ngu';
elseif vd==61
letter='he';
elseif vd==62
letter='ne';
elseif vd==63
letter='ce';
elseif vd==64
letter='re';
elseif vd==65
letter='ke';
elseif vd==66
letter='de';
elseif vd==67
letter='te';
elseif vd==68
letter='se';
elseif vd==69
letter='we';
elseif vd==70
letter='le';
elseif vd==71
letter='pe';
elseif vd==72
letter='dhe';
elseif vd==73
letter='je';
elseif vd==74
letter='ye';
elseif vd==75
letter='nye';
elseif vd==76
letter='me';
elseif vd==77
letter='ge';
elseif vd==78
letter='be';
elseif vd==79
letter='the';
elseif vd==80
letter='nge';
elseif vd==81
letter='ho';
elseif vd==82
letter='no';
elseif vd==83
letter='co';
elseif vd==84
letter='ro';
elseif vd==85
letter='ko';
elseif vd==86
letter='do';
elseif vd==87
letter='to';
elseif vd==88
letter='so';
elseif vd==89
letter='wo';
elseif vd==90
letter='lo';
elseif vd==91
letter='po';
elseif vd==92
letter='dho';
elseif vd==93
letter='jo';
elseif vd==94
letter='yo';
elseif vd==95
letter='nyo';
elseif vd==96
letter='mo';
elseif vd==97
letter='go';
elseif vd==98
letter='bo';
elseif vd==99
letter='tho';
elseif vd==100
letter='ngo';
else
letter='1';
end
gui
% --- Executes on button press in buttonpilgam.
function buttonpilgam_Callback(hObject, eventdata, handles)
open=guidata(gcbo);
[filename, formatfile] = uigetfile ('*','BukaGambar');
im=imread(fullfile(formatfile, filename));
set(open.figure1,'CurrentAxes',open.axes1);
set(imagesc(im));
set(open.axes1,'Userdata',im);
%handles.im = im;
%guidata(hObject,handles);
%axes(handles.axes1);
%imshow(handles.im);
% hObject handle to buttonpilgam (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% --- Executes on button press in button3proses.
function button3proses_Callback(hObject, eventdata, handles)
%Proses Grayscale
open=guidata(gcbo);
g=get(open.axes1,'Userdata');
if size(g,3)==3
g=rgb2gray(g);
end
set(open.figure1,'CurrentAxes',open.axes2);
set(imshow(g));
set(open.figure1,'Userdata',g);
set(open.axes2,'Userdata',g);
%Proses Grayscale to Threeshold
%open=guidata(gcbo);
%g=get(open.axes2,'Userdata');
%if size(g,3)==3
% g=im2bw(g);
%end
%set(open.figure1,'CurrentAxes',open.axes3);
%set(imshow(g));
%set(open.figure1,'Userdata',g);
%set(open.axes3,'Userdata',g);
%Proses Threshold to Biner
open=guidata(gcbo);
g=get(open.axes2,'Userdata');
threshold = graythresh(g);
g=~im2bw(g,threshold);
g2=g;
set(open.figure1,'CurrentAxes',open.axes4);
set(imshow(g2));
g=bwareaopen(g,50);
set(open.figure1,'Userdata',g);
set(open.axes4,'Userdata',g);
%Proses OCR
word=[ ];
text=[ ];
re=g;
load templates
global templates
num_letras=size(templates,2);
while 1
[fl re]=lines(re);
imgn=fl;
n=0;
spacevector = [];
rc = fl;
while 1
%[fc rc space]=letter_crop(rc);
%while 1
%Fcn 'letter_crop' separate letters in a line
[fc rc space]=letter_crop(rc); %fc = first letter in the line
%rc = remaining cropped line
%space = space between the letter
% cropped and the next letter
%uncomment below line to see letters one by one
%figure,imshow(fc);pause(0.5)
img_r = imresize(fc,[42 24]); %resize letter so that correlation
%can be performed
n = n + 1;
spacevector(n)=space;
%Fcn 'read_letter' correlates the cropped letter with the images
%given in the folder 'letters_numbers'
letter = read(img_r,num_letras);
%letter concatenation
word = [word letter];
if isempty(rc) %breaks loop when there are no more characters
break;
end
end
max_space = max(spacevector);
no_spaces = 0;
for x= 1:n %loop to introduce space at requisite locations
if spacevector(x+no_spaces)> (0.75 * max_space)
no_spaces = no_spaces + 1;
for m = x:n
word(n+x-m+no_spaces)=word(n+x-m+no_spaces-1);
end
word(x+no_spaces) = ' ';
spacevector = [0 spacevector];
end
end
%-----------------------------------------------------------------
% Label and count connected components
%[L Ne] = bwlabel(imgn);
%for n=1:Ne
% [r,c] = find(L==n);
% Extract letter
% n1=imgn(min(r):max(r),min(c):max(c));
% Resize letter (same size of template)
% img_r=imresize(n1,[90 90]);
%-------------------------------------------------------------------
% Call fcn to convert image to text
% letter=read(img_r,num_letras);
% Letter concatenation
% max_space = max(spacevector);
% no_spaces = 0;
% for x= 1:n %loop to introduce space at requisite locations
% if spacevector(x+no_spaces)> (1 * max_space)
% no_spaces = no_spaces + 1;
% for m = x:n
% word(n+x-m+no_spaces)=word(n+x-m+no_spaces-1);
% end
% word(x+no_spaces) = ' ';
% spacevector = [0 spacevector];
% end
% end
% word=[word letter];
%end
text = char(text, word);
% Clear 'word' variable
%fprintf(text,'%s\n',word);
word=[ ];
%*When the sentences finish, breaks the loop
if isempty(re) %See variable 're' in Fcn 'lines'
break
end
end
set(handles.figure1,'Visible','on');
set(handles.text8hslteks,'String',[text]);
set(handles.text8hslteks,'FontSize',10);
guidata(hObject, handles);
%cropping
% hObject handle to button3proses (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
What's wrong with my code? Thank you for your attention.
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Accepted Answer
More Answers (1)
yanqi liu
on 22 Jun 2022
yes,sir,may be
vd=find(comp==max(comp))
to find what vd is?
is the vd in range
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