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0mbhJdVk29frQvvsenuH+0A3vW5OnwdGxcM+9ee8FUF3e5CZDV199iRWo3JnW5OyrX70yhLDPPgf7hgnIi8nNnAc29frQfvsdkfn+MGeyBoAQKh83XS5FffnLFxnVFIGsKYoFCw6r5ksJUCgVj5tZqdeHDjjg/XnvBWuQNTkbHB275prL8t4LgDVUM27mPLC56qoLjGoKQtYUyLvf/d5KvYIABVfBuOm8bOr1oYMOWtTr/WG2ZE3+BkfHli79x7z3AqC1CsbNrFx55XlGNcUha4rlPe850gsHUEDViZtOBjb1+tChh36wP/vDrMiaQhgcHVuy5MK89wJgBhX5qZmd/TfWQgiXXXa2UU2hyJrCOfDAhdG/ZAClVpGxzXTq9aF6/cN57wWtyZqiGBwd++IXz897LwA6Ev2aVCcDm0suWWxUUzSypogOPng41lcKICZxx03LsqnXh973vmNz2R86IWsKZHB07Iorzk1uH3bYh6J8mQDiE3fcTOeiiz5nVFNAsgaADEQZN00Dm3p96Mgjj8txf5iRrCmWwdGxSy89K7l9+OHHxPTqAFRBfHHTcilqfPx0o5piWivvHWA6k3nvAMAcjY8vCyEkNZDcjkC9PrRw4fFPPfVU3jtCOzW9WUATI8OHHXb0wMC8efPmnXfeZ6J5UQAqKI64qdeHFi36xMqVK5966qlzz/0/Dp2FZRGqiAZHxy688HN57wVABiJYlqrXh8bHly1e/Km8d4SZyZqiO+qoj5X3tQAgUd64SZom/dCopuAsQhXXxMjwEUd8dGBg3sDAwFlnfbrsI1yARImWpZqaJtlzx80iM60BoK/K+4OlSpFiFSdrimtwdOy88z6T3F606BNlfAkAmE7x16SaRjWUgqwpjeHhk4r8/AeYrSKfcDNd04yPL5sYGe7//tAh59YU3cTI8MKFxw8MDNRqA7Va7cwzT/TdAxCfQp1wM+Ocpl4fcvQsJtOakvnQh04u4Lc1AF0qzuTG2lOpmdaUwMTI8KJFn0imNcnY5vTTP+5ZB8Qqx8lN501jYFNMsqYcJkaGh4dPSrNmYKD22c9+TNkAEet/3Mx2TqNsCsgiVFkde+xo7qNagN7p87KUtac4yJpyGBwdGxs7qWnjyMipygaIW3HOuZnKVVEFJGtKY3B07MwzT8x7LwBy0Ou4mfOoRtkUjawpk8HRsTPOOKFxy3HHfbaA38EA9EKP4sbyU0ycMlw+EyPDH/nI/67VBgYGVl0bdcopH/acBColqxOKM2ka5w4Xh6wppYmR4WOPHU2zplYb+PSnj1Y2QNV0GTcZzmmUTUFYhCqlwdGxU08dadxywglnWo0Cqqabn5pp7SlKsqasBkfHRkePbdxy4omLlQ1QQXM44SbzpnHucEFYhCq3iZHhj33s9MbVqJNOWuj7D6CaOlyT6t2cxlJU7kxrYvOpT51tZgNUUyeXSnmFjJtpTelNjAwff/znGn+uQq02cMIJR5rZAFXWcnLTh/NpDGzyZVpTeoOjY5/+9NF57wVAsUyd3PTnHGEn2eTLtCYSEyPDJ564uGFmM/Dxj78v5PQjcAEKpc8/NdPAJkeyJh4TI8MnnfT5NGtqtVqtVjvuuMOVDVBl9frQaaddsuGGGy1YsH3oV9wom7zImqhMjAx/6lNnN2ZNrVYbGakrG6Ca6vWh00+/dHJycsMNN0q29C1ulE0u1sp7B8jS4OjYJ0bef/LJ54YwGUIt2fiZz1zU5wEsQO6S170zzrh8cnJl4/YlS74Z+hg39JlpTYQmRoZPOeW8Wi0d2Ky68ZGPHOw5DFRBvT505plXTq6ysnFa06jXcWNg03+uhKqCyeT/TjvtEm/YAESvXh8aG/tiJ/dcsuSbS5Z8M/MfCZ5yVVT/yZoIDY6OffzjR7T8rdNPv7R3T2CAfCWvb4sXXzWrz0rjpkd7RT9ZhIpW8i3C6Oh44zpU6uij97cgBcSkXh8666wlky2s/PCHDwyrz6ppo0drUpai+sm0JlqDo2ODo2MjI/WWv3vmmVf41gSIRr0+dPbZX275W0nTDI6OLViwfRIu0+n1mhR9YFoTv4mR4VNPvbjWyvDwfsG1AEDJ1etD55yztNWcZvLoo9/TdJhLJtl9ntwY2PSNrKmE5Gl82mmXtGqbgQ984F3KBiijZKxy7rlXt2yaD35wv+mOcf2PG2XTH7KmQiZGhk8//dKpWVOr1RYuXKBsgHKp14e+8IVr00u4Gy1atG8IYcYD3MTI8IxlEzKKG1nTH7KmWiZGhs8447KpWRNCbeHCdwYLUkBJ1OtD55//1cbzgtNbH/jAuzo/tHU4tglZxI2y6QNZUznJc/jMM69oyprEUUe9Q9kARZYsPF1wwXVNlzsl/7dw4YI5HNf6FjfKptdkTUVNjAyPjV2ZZE3aNIkjj9xb2QDFVK8PXXjh9S2v4j7qqH1CBwtPbfQhbmRNr8ma6poYGV68+ItTs6ZWqx1xxF7BghRQMPX60EUX3dDy7OAjj9w7q8NZr+NG2fSUrKm05Nn7+c8vaXn593vfu6eyAYogWXi6+OKvtWyaI47YK/NjWU/jRtn0jqwhTIwMn3XWl1te+3344UPKBshREjT/+I83TU5OhtAcNO99756hu4Wn9noUN7Kmd2QNIYQwMTJ89tlLW177Xa/vESxIAX2XBM0ll3w9rZmmrDn88Lf15xA2q7hRNvmSNaySPG/PPfcrU8umVqsdeujuQdwAfZEEzWWX3TI5GRprpjFr+p8Fmb+Dn7LpBVnDGiZGhs8775qpWVOr1UIIhxyym7IBeqpeH7r88m+sjpjWWXPYYXvkdfDKMG5kTS/IGppNjAx/4QvXtsyaWq128MG7BmMboAeSIc0VV9zWEDHNWXPIIbuHXp5M06Gs4kbZZE7W0ELyjL3gguumZk3iwAP/IYgbICNJ0Fx55e2Tk5NhdcVMzZpDDtmtUMesTOJG2WRL1jCtiZHh8fHrW2ZNCLVaLRxwwM5B3ABdSILmqqvunCZlVt0+6KBdQgGGNC11+YOlZE22ZA3tTIwMX3jhDdNlTXJj//13CuIGmKUkaL70pbvaTmjCgQfuHIoaNKkurwNXNhmSNcwgebpefPGNYZqsSTbst9+bg7gBOpAEzZIldzecNNM6aw44YOcSHaS6iRtlkxVZQ0cmRoYvvvjGNlmT3Hj3u98UxA0wjSRoli791pox0yJrkjFwGY9Qc4sbWZMVWUOnkufqJZfcnKbM1KxJtuy77w5B3ABrqteHrr76nsYFppZZk4x+y35smkPcKJtMyBpmJ3muXnrpLW2yJvmtOf+EWyAyyZDmK1/5zppvPxOasiYZ98Z0VJpt3IS4/vNzIWuYi+S5evnlt7bJmmTLO9/5xiBuoKqSoLnmmnunrDStkTX77rtjiPeIPqu4ifUPoW/WynsHKKXkibf//m8JIVxxxW1t7rl06bdCqO2zz7ZB3ECVJEFz7bXfS9plyu/XQpgMIbzrXTuEeIMmkfzXJfOYTuKGbsga5i55rr7nPW8OIVx55e1t7nn11ffUarW9936DsoHoJUFz3XX3TbbsmdUWLNguxB40jcRNf1iEIhvJlPWqq+4MT69LtVif2nvv1wdjG4hUEjTLlj0w43nB++zzxioffdosS1mH6pJpDdlInofJAvmXvnTXdHe75pp7a7Xa29/+uiBuICJJ0Fx//fdDcon29JIl6YofuU1uekfWkKXkuZosli9Zcvd0d7v22u/VarU999w6iBsos6RmQgg33PCDMFPQ7L33G0Llg6aRuOkFWUP2Vj9XtwurThlu7brr7guh9ra3bZV8qG+gLNKaufHGB9PVpTb332uv1wdBM400bpRNJpxbQ29NjAwvXfrt9u9NnNzaY48tgriBYkuC5qabHlpdMpONWTP1Ku4993xtEDSdSU64Cf64uiNr6LnkufqVr3ynfdYkv771ra9JPkvfQHGk45mbb3549WBmhqxJBrEOMfSZrKFPkrhJThlukzXJryHUdt998+QT9Q3kJa2Zr399RVizXdpkTTJ5dXAhF7KGvkriJjlluH3WpB/tuuurks/VN9A3SdDceusjLYcxIYTpsmaPPbZwWCFHsoYcJHGTnDI8Y9Yk9wkh7LLLK4K4gV5KxzPf+Maj0wVNy6zZffdXJ5/omEK+ZA25SeJm2bIHOsya5Nd/+IfNkk/XN5CVtGZuu+2x9ifNhDWzZrfdVg1THUooCFlDzpK4uf7673eYNemvb3nLy5NH0DcwZ0nQ3H77P4UQpp74O3VT+uuuu74yqBmKR9ZQCOmVjTfcsLxVw7TYlP66006bJp+rb6BD6XjmjjsmQot1pTBd1iRrwUHQUFSyhmJJ++bGGx/sMGvSd8SZP3/jIG5gemnN3HXXT9ueLhOasmbnnf9X8okOGRScrKGg0r656aaHOsyaEGohhPnz/z75RH0DqSRovvnNfw4dnQUc0qxJVnsdKSgLWUPRJX1z880Pd5g16cYdd9woeQR9Q2Wl45m77/55h2cBJ7/utNMmySc6RlAusoZySIc3t9zyo9BZ1qS/7rDDy5LP1TdUQZoyIYRvfetfQgidX9yUrOQGNUNpyRpKJu2bW299pMOsSe+w3XYvST5X3xCZxpS5555frP65k5Nr3miXNcnqrSMCZSdrKKu0b2677ccdZk16/fgb37hh+jgSh5JqTJnvfOffQvNa0tQbLbImXat1LCAOsobSS/rm9tsf6zxrGjNo221f3PhoKocia0yZe+/9v8mNKRXTUdYki7MOAURG1hCJdHiTvA9H51nTtPUNb/jb9DElDkXQmDLf/e7jISRpEpIbYXZZE7bfftVSrBd/orRW3jsA2Uhfo9/0psHkxp13/mQOj5MM85PQef3r/2e6XeLQT40pc999v0ojZnWmzNp2261aeFUzxE3WEJv0VTs9aSB5r445uPfeX6ZznNe97oXpdolDLzSmzP33/0fjrGXOj/nGN/5dckPNUBGyhmilr+Pbb//SEMLdd/+sm0f73vceDyEkc5ytt35Bul3i0I3GlHnggSdCCA01M0fbbPP06WJqhqqRNcQveWVPr+4OT7+Zxxzdd9+v0rNzttrqf6TbJQ6daEyZ73//18mNLlum8ZwwKUOVyRqqovG1Pp3MhxC+/e1fdPOw99//H2F142y55V83/pbKIdWYMsuXP9lwrkxXNZOe/iVlICFrqKLGY0DjBd7J+cJz9sADTzReVPWa1zwv/S2JUx2NBZN68MH/DGtevjR7teRzX/e6DdJNagaayBqqrvHA0DjJT98UZM5+8IPfpBePv/rVfzX1Dlqn7FoWzA9/+LspVy21SZlaJ6Hz2tc+fTqXlIE2ZA08rfGA0Xh193e/+3iXj7x8+ZOr3y0w2VALIWy++XOn3lPrFNbUiHnood+vvtnteb5TbbXV36S3pQx0SNZAa40Hksaru8OqU4Yz8OCDv22snBBCrRZe+crntLyz3OmnlmOYhx/+Q8NH2XdMWPP0LCkDcyBrYGZNB5jGC7yTU4Yz9NBDv0srJzS8A/IrXvHsqXfWOt1rWTArVvxX09pQTyomhBDCFls8P70tZaBLsgZmrfHY03iB9+r3HemJZFSQVk5is82e1fLOcmc6UyPmkUf+O0w5mbdnDbPKa17z9LlWUgYyJGugK43HpMYVhB/84Dd9+OorVvzXmp2zKnte/vJnzPi5ZU+fllOWGT366B9DpyfzZmzzzddPb0sZ6BFZA5lpPFY1Xt29fPmTfd6TRx7578bzdRo8/cGmm66T1ZfrspDmFig//vGfGz5qrpPpxy396JhXvarFyeBSBvpA1kBPNB7DWl7d/eCDv+3j7rTw6KN/Sm+vmT6rtrX53KZU2njjrl5JHnvsL1O29W89qEuvfOV6UzcqGMiLrIGea3mQa3l1d1h1ynDJtOqSZrVa0QOl0XR7O/XEbQUDhSJrIB/THQ5bXuC95qXF+ZucbDngiUrL07FFDBScrIFiaXngbHl194oV/y+rL1qFTGmj5RnWCgbKSNZACbQ8xE53dXdyxTLT2XTTdZu2KBiIhqyBspruYNz+6u7GM4XjsMkma8/q/n6vj/AAAAWASURBVCIGIiZrIDbtD9sZXtf92GN/nvlOHZvz5VQyBUjJGqiWDCNg441nNyZpT50A3at5KQEA4jCQ9w4AAGRD1gAAkZA1AEAkZA0AEAlZAwBEQtYAAJGQNQBAJGQNABAJWQMARELWAACRkDUAQCRkDQAQCVkDAERC1gAAkZA1AEAkZA0AEAlZAwBEQtYAAJGQNQBAJGQNABAJWQMARELWAACRkDUAQCRkDQAQCVkDAERC1gAAkZA1AEAkZA0AEAlZAwBEQtYAAJGQNQBAJGQNABAJWQMARELWAACRkDUAQCRkDQAQCVkDAERC1gAAkZA1AEAkZA0AEAlZAwBEQtYAAJGQNQBAJGQNABAJWQMARELWAACRkDUAQCRkDQAQCVkDAERC1gAAkVgrqwc64g1bP++Zz2jauOLxf//qikez+hIAAG1kljUvWO/ZL1jv2emH662zznYv2/CyB5bLGgCgPzLLmk/demfjh2e9ffef/ebJT95y53T3BwDIVk/OrTn89VvuuNFLdjr/0l48OABASz3Jmg/vsO0JN9/ei0cGAJhO9llzz8L6l5Y/fO3Dj2T+yAAAbWScNTfV95+cnDzx682jmpH522X7hQAAmmSZNZ94y45//axnPmvttY/ZcdvG7XcccfAL11svwy8EADBVZlnzts02fc+Wm7928QVnfPOew167Rbr9mB23fc666x697KasvhAAQEuZZc0pu7755kf/KYRw6f3LVzz+71e8e+9k+6Gv3eIzd9yd1VcBAJhONu9bc8CWr37G2mvv/vKNd3/5xunGf/roohDCd//lX5csfziTrwIA0EZtcHSsF497zI7bHrL1FrVa2Oy0s3vx+AAATXr1oy5Pu/PbKycnlz64okePDwDQJMus+clxL2v88M8rn/rdH/+U4eMDALSR2c+E+tnxO6277otC+GlWDwgAMCuZTWsGBtafN2+tiZGfZ/WAAACzkk3WTIz8eu211583b97AwC6ZPCAAwGxlswg1OPr8X54c5s2bN2/ei0P4UbJxyzO/kMmDAwB0IrNFqD/84Zrf/vYnG558S1YPCAAwKxleCbUyhFp2jwYAMDsZZs1kCOHnBxzTzUMcN+UHfR+w5asPbfgJUwAA08kma35+wDGZTGv+7q/W//rhBzRu+cTOO/7zr5/s8mEBgCrIJms2vOy0EFZ2/zhHXXPD8575jGN23Db58I4jDr76hytum/BeOADAzDI+t2bDy07r8lFOuuXO+uu2DCGcuPOOaw0MjHzt1iz2DQCIX2bvMpycW9O9G3704102Gbz9fQe9aP3nbnLq5zN5TACgCop4JdSir9744r9af/m//TKTRwMAKiLbrMnGOXu99ee/efLVf7vB/MGXZvWYAED0srzAu1bLYFqz5ytePn/wpTudf+ml9y8/Zdedun9AAKAiMsuau+56TQjh5A3/pvNPuexjRy8+7oNNG094yw5fuPf+EMKnv3HXH//yl9OH/JApAKAjtcHRse4fZc9f/eyTn/zkM5/5zKde+MIQQuPYZrrboVZb+fvfJ1tqIdRC2OT4U87fZ2jD9dff9cLL03s99tFF77/mhq//eKL7nQQA4pbNlVBffcFLDv3ZzzbYYIMfLl362Pz5K0OYDGFlCCtD+EsIf2r4358bbh80MPDYypWfWd1V79x8sx03eumma179tGT5Qyfv8mZZAwDMKJtpTeJdv338S899YVaPBgAwKxmeMhw0DQCQoyyzBgAgR7IGAIiErAEAIiFrAIBIyBoAIBKyBgCIhKwBACIhawCASMgaACASsgYAiISsAQAiIWsAgEjIGgAgErIGAIiErAEAIiFrAIBIyBoAIBKyBgCIhKwBACIhawCASMgaACASsgYAiMT/B6qXmCCbp6G8AAAAAElFTkSuQmCC<Mask>
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<Mask>
<Rect width="45" x="17" y="439" height="54" type="negative"/>
- <Rect width="23" x="368" y="180" height="29" type="negative"/>
- <Rect width="16" x="460" y="251" height="7" type="negative"/>
+ <Rect width="23" x="368" y="180" height="41" type="negative"/>
+ <Rect width="26" x="455" y="251" height="10" type="negative"/>
</Mask>
- <Algorithm description="Normalized Color Histograms" name="nchcompare">
- <Parameter description="Bin Count" name="bincount">4</Parameter>
- <Parameter description="Threshold" name="threshold">0</Parameter>
+ <Algorithm description="Simple comparison (pixel by pixel)" name="simplecompare">
+ <Parameter description="Threshold" name="threshold">0.01</Parameter>
+ <Parameter description="Tolerance" name="tolerance">0</Parameter>
</Algorithm>
</Verification>
</VerificationPoint>
