An Entropy-Histogram Approach for Image Similarity and Face Recognition

<table class="fixed-width table-group" id="tab1"><tr><td><table class="table"><colgroup><col style="width:10.85em"/><col style="width:3.89em"/><col style="width:3.92em"/><col style="width:3.76em"/><col style="width:3.79em"/><col style="width:4.15em"/><col style="width:4.47em"/><col style="width:4.01em"/></colgroup><tr><td class="thead-hr" colspan="8"><hr/></td></tr><tr class="thead"><td class="align_left">Measures</td><td class="align_center">RSM</td><td class="align_center">SHS</td><td class="align_center">FSM</td><td class="align_center">SSIM</td><td class="align_center">ZESIM</td><td class="align_center">ZMSIM</td><td class="align_center">FSIM</td></tr><tr><td class="thead-hr" colspan="8"><hr/></td></tr><tr><td class="align_left">Average Confidence, <svg height="9.25202pt" id="M212" style="vertical-align:-3.29111pt" version="1.1" viewbox="-0.0498162 -5.96091 14.2402 9.25202" width="14.2402pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M352 391C352 416 319 448 267 448C236 448 173 423 147 400C107 364 96 332 96 304C96 248 143 210 193 181C241 153 258 124 258 100C258 72 232 38 184 38C151 38 107 66 81 108C77 114 64 116 55 111C34 99 23 84 23 65C23 29 81 -12 134 -12C220 -12 325 61 325 141C325 184 297 215 234 256C194 282 161 309 161 346C161 380 188 401 217 401C255 401 279 380 301 353C308 344 313 341 325 347C341 355 352 371 352 391Z" id="g113-116"></path></g><g transform="matrix(.0091,0,0,-0.0091,4.81,3.132)"><path d="M490 97L476 124C442 96 405 70 398 70C392 70 390 78 396 114C419 243 448 379 463 432L457 436C446 436 431 439 418 442C393 447 368 451 343 451C281 451 204 418 155 381C74 320 24 206 24 107C24 23 59 -12 88 -12C118 -12 155 5 191 34C236 70 290 122 328 177H330L312 84C296 0 311 -12 331 -12C355 -12 425 24 490 97ZM374 387C371 367 360 299 347 264C323 202 187 53 142 53C128 53 113 73 113 120C113 224 157 332 221 380C241 395 274 403 303 403C330 403 360 395 374 387Z" id="g50-98"></path></g><g transform="matrix(.0091,0,0,-0.0091,9.489,3.132)"><path d="M219 86C216 168 211 250 206 337C201 410 189 448 163 448C131 448 79 396 43 344L60 322C91 359 110 375 118 375S132 358 136 298C141 238 152 81 155 -12H182C242 62 331 177 390 258C435 321 451 360 451 391C450 424 432 448 408 448C390 448 372 435 366 419C362 410 362 401 366 394C373 383 376 367 376 350C376 283 262 138 221 86H219Z" id="g185-40"></path></g></svg></td><td class="align_center">0.0239</td><td class="align_center">0.0234</td><td class="align_center">0.0192</td><td class="align_center">0.0150</td><td class="align_center">0.0119</td><td class="align_center">0.0100</td><td class="align_center">0.0066</td></tr><tr class="table-tr"><td colspan="8"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The global average similarity difference of best match and second-best match within all persons.</div>

Mathematical Problems in Engineering

tab1

Table 1

Table 1: An Entropy-Histogram Approach for Image Similarity and Face Recognition 