Biometrics zviyero zvemuviri uye kuverenga zvine chekuita nehunhu hwevanhu. Kusimbiswa kweBiometric (kana kuti kusimbiswa kwechokwadi) kunoshandiswa musainzi yemakombiyuta senzira yekuziva uye kudzora kupinda. Inoshandiswawo kuziva vanhu vari mumapoka ari kutariswa.

Zviziviso zveBiometric ndizvo zvinhu zvakasiyana uye zvinoyerwa zvinoshandiswa kunyora mazita uye kutsanangura vanhu. Zviziviso zveBiometric zvinowanzoiswa muzvikamu zvehunhu hwemuviri hune chekuita nechimiro chemuviri. Mienzaniso inosanganisira, asi haingogumiri paminwe, mitsipa yechanza, kuziva chiso, DNA, kudhindwa kwechanza, geometry yeruoko, kuziva iris, retina, uye hwema/kunhuhwirira.

Tekinoroji yekuziva biometric inosanganisira sainzi yemakombiyuta, optics uye acoustics nedzimwe sainzi dzefizikisi, sainzi yebhayoloji, misimboti yebiosensors uye biostatistics, tekinoroji yekuchengetedza, uye tekinoroji yehungwaru hwekugadzira uye mamwe masayenzi mazhinji ekutanga uye matekinoroji matsva ekushandisa. Iyi mhinduro dzehunyanzvi dzakakwana dzemabhizinesi akasiyana-siyana.

Mumakore achangopfuura, nekuvandudzwa kwehungwaru hwekugadzira, tekinoroji yekuziva chimiro chemuviri yakura zvakanyanya. Parizvino, tekinoroji yekuziva chiso ndiyo inonyanya kuratidzwa ne biometrics.

Kuzivikanwa kwechiso

Maitiro ekuziva chiso anosanganisira kuunganidza chiso, kuona chiso, kubvisa chimiro chechiso uye kuziva kufananidza chiso. Maitiro ekuziva chiso anoshandisa matekinoroji akasiyana-siyana akadai seAdaBoos algorithm, convolutional neural network uye support vector machine mukudzidza kwemuchina.

Maitiro ekuzivikanwa kwechiso

Parizvino, matambudziko echinyakare ekuziva chiso anosanganisira kutenderera kwechiso, kuvhara, kufanana, nezvimwewo zvakagadziridzwa zvikuru, izvo zvinovandudza zvikuru kururama kwekuziva chiso. Chiso che2D, chiso che3D, chiso chine maspectral akawanda. Nzira imwe neimwe ine mamiriro akasiyana ekugadzirisa kuwanikwa, dhigirii rekuchengetedza data uye kunzwisisika kwekuvanzika, nezvimwewo, uye kuwedzerwa kwekudzidza kwakadzama kwedata guru kunoita kuti algorithm yekuziva chiso che3D iwedzere zvikanganiso zve2D projection, Inogona kukurumidza kuziva hunhu hwemunhu, izvo zvakaunza budiriro yakati yekushandiswa kwekuziva kwechiso chine madhigirii maviri.

Panguva imwe chete, tekinoroji yekuongorora zvisikwa (biometric detection) iri kushandiswa senzira huru yekuvandudza kuchengetedzeka kwekuziva chiso, iyo inogona kudzivirira hutsotsi hwenhema hwakadai semifananidzo, mavhidhiyo, mamodheru e3D, uye masks ekugadzira, uye kusarudza vega kuti ndevapi vanoshandisa. Parizvino, nekukura nekukurumidza kwetekinoroji yekuziva chiso, maapplication mazhinji matsva akadai semidziyo yakangwara, mari yepamhepo, uye kubhadhara chiso zvave kufarirwa zvakanyanya, zvichiunza kukurumidza uye nyore muhupenyu hwemunhu wese nebasa.

Kuzivikanwa kwemavara emuchindwe

Kuziva mavara emuchindwe rudzi rutsva rwetekinoroji yekuziva mavara emuchindwe, iyo inoshandisa mavara emuviri wemunhu sechinhu chinotariswa, uye inounganidza ruzivo rwezvehupenyu kuburikidza netekinoroji yemifananidzo yemaspectral akawanda. Kuziva mavara emuchindwe akawanda kunogona kuonekwa semuenzaniso wetekinoroji yekuziva mavara emuchindwe inosanganisa akawanda-modality uye akawanda- siyana. Iyi tekinoroji itsva inosanganisa zvinhu zvitatu zvinozivikanwa zveganda, mavara emuchindwe uye mitsipa yemitsipa kuti ipe ruzivo rwakawanda panguva imwe chete uye kuwedzera kusiyanisa kwezvinhu zvinotariswa.

Gore rino, tekinoroji yeAmazon yekuziva chanza, inonzi Orville, yatanga kuyedzwa. Muchina wekuongorora unotanga wawana mifananidzo yepakutanga ine infrared polarized, uchitarisa zvinhu zvekunze zvechanza, zvakaita semitsetse nemapete; kana wawana mifananidzo yechipiri ine polarized zvakare, unotarisa chimiro chechanza uye zvinhu zvemukati, zvakaita setsinga, mapfupa, nyama dzakapfava, nezvimwewo. Mifananidzo isina kubikwa inotanga kugadzirwa kuti ipe mifananidzo ine maoko. Mifananidzo iyi ine chiedza chakanaka, yakatarisana, uye inoratidza chanza nenzira chaiyo, mune imwe nzvimbo chaiyo, uye yakanyorwa seruoko rweruboshwe kana rwerudyi.

Parizvino, tekinoroji yeAmazon yekuziva mavara emuchindwe inogona kusimbisa hunhu hwemunhu uye kubhadhara zvizere mumamiriyoni mazana matatu chete, uye haidi kuti vashandisi vaise maoko avo pamudziyo wekuongorora, vanongosimudza ruoko uye vanoskena vasina kubata. Mwero wekukundikana kwehunyanzvi uhwu ungangoita 0.0001%. Panguva imwe chete, kuzivikanwa kwemavara emuchindwe kusimbiswa kaviri padanho rekutanga - kekutanga kuwana hunhu hwekunze, uye kechipiri kuwana hunhu hwemukati hwesangano. Kana tichienzanisa nedzimwe tekinoroji dze biometric maererano nekuchengetedza, zvakavandudzwa.

Kuwedzera kune zvataurwa pamusoro apa, tekinoroji yekuziva iris iri kufambiswawo mberi. Mwero wekuziva iris wenhema wakaderera se1/1000000. Inonyanya kushandisa hunhu hwehupenyu hweiris uye musiyano kuti ione hunhu.

Parizvino, kubvumirana kuripo muindasitiri ndekwekuti kuzivikanwa kwemodhi imwe chete kune zvipingamupinyi mukushanda kwekuziva uye kuchengetedzeka, uye kusanganiswa kwemodhi yakawanda ibudiriro yakakosha mukuziva chiso uye kunyange kuzivikanwa kwebiometric—kwete chete kuburikidza nemulti-factor. Nzira yekuvandudza kurongeka kwekuziva inogonawo kuvandudza kuchinjika kwenzvimbo uye kuchengetedzwa kweruzivo rwepachivande rwetekinoroji yebiometric kusvika pamwero wakati. Kana ichienzaniswa nealgorithm yechinyakare yemodhi imwe chete, inogona kusangana zviri nani nechiyero chenhema chekuziva chemari (chakaderera se1 pamamiriyoni gumi), inovawo nzira huru yekuvandudza kuzivikanwa kwebiometric.

Sisitimu yebhayometiki yemhando dzakasiyana-siyana

Masisitimu eBiometric anoshandisa masensa akawanda kana biometrics kuti akunde zvipingamupinyi zvemasisitimu eBiometric eUnimodal. Semuenzaniso masisitimu eIris recognition anogona kukanganiswa neIris dziri kukura uye electronic fingerprint recognition inogona kuomeswa neFingerprint dzakasakara kana dzakachekwa. Kunyange zvazvo masisitimu eBiometric eUnimodal akaganhurirwa nekusimba kwechiratidzo chavo, hazvigoneke kuti masisitimu eBiometric eUnimodal akawanda achatambura nemiganhu yakafanana. Masisitimu eBiometric eUnimodal anogona kuwana seti dzeruzivo kubva kune chiratidzo chimwe chete (kureva, mifananidzo yakawanda yeiris, kana scan yemunwe mumwe chete) kana ruzivo kubva kuBiometric dzakasiyana (dzinoda scan yeminwe uye, uchishandisa izwi recognition, passcode inotaurirwa).

Masisitimu ebiometric emhando dzakasiyana-siyana anogona kubatanidza masisitimu aya emhando imwe chete, panguva imwe chete, musanganiswa wawo, kana munhevedzano, zvinoreva nzira dzekubatanidza dzakatevedzana, dzakafanana, dzechinyakare uye dzekubatanidza dzakatevedzana, zvichiteerana.

CHANCCTVyakagadzira nhevedzano yemagirazi e biometricyekuziva chiso, kuziva chanza pamwe chete nekuziva zvigunwe uye kuona iris. Semuenzaniso CH3659A igirazi re4k rakadzikira rakagadzirirwa masensa e1/1.8''. Rine magadzirirwo ese egirazi uye madiki ane 11.95mm TTL chete. Rinotora nzvimbo yekuona yakatwasuka yemadhigirii makumi mana nemana. Lenzi iyi yakakodzera kuona chanza.