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Cornejl „opogrjphâ: °n ¥merging ®iometrif †âstem for

Œerson °uthentifjtion

jssimj vihjlÏ,2, °rnjud Œolette2,Ê, Sjlim ChitroubÏ, Isjbelle ®runetteÇ jnd xejn seunier2

ÏSignjl jnd Imjge Œrofessing Ljborjtorâ ¥leftronifs jnd Computer Sfienfe Fjfultâ,

‚S„|®, °lgiers, °lgerij.

2¨epjrtment of Computer Sfienfe jnd Operjtions ˆesejrfh ½¨IˆO), ‚niversitâ of sontrejl, Cjnjdj.

Ê°iå¸sjrseille ‚niversitâ, CˆS, LSIS ‚sˆ 72šÁ, Frjnfe.

Çsjisonneuve¸ˆosemont |ospitjl, ¨epjrtment of Ophthjlmologâ, ‚niversitâ of sontrejl, Cjnjdj.

Corresponding juthor e¸mjil jdress: meunier@iro.umontrejl.fj

°bstrjft: Cornejl topogrjphâ is j non¸invjsive medifjl imjging tefhnique to jssess the shjpe of the fornej in ophthjlmologâ. In this pjper we demonstrjte thjt in jddition to its hejlth fjre use, fornejl topogrjphâ fould provide vjlujble biometrif mejsurements for person juthentifjtion. „o eåtrjft j fejture veftor from these imjges ½topogrjphies), we propose to fit the geometrâ of the fornejl surfjfe with Zernike polânomijls, followed bâ j linejr disfriminjnt jnjlâsis ½L¨°) of the Zernike foeffifients to seleft the most disfriminjting fejtures. „he results show thjt the proposed method redufed the tâpifjl d¸dimensionjl Zernike fejture veftor ½Ø=ÊÁ) into j mufh lower ¨¸dimensionjl fejture veftor ½¨=Ê), jnd improved the ¥qujl ¥rror ˆjte from 2.œœç to 0.šÁç, with the jdded benefit of fjster fomputjtion time.

Ï Introduftion

®iometrifs refers to identitâ refognition of persons jffording to their phâsifjl or behjviorjl fhjrjfteristifs [C¨x05] [L®SÏÏ] [¨0Ê] [ZvÏÏ]. sjnâ phâsifjl bodâ pjrts jnd personjl fejtures hjve been used for biometrif sâstems: fingers, hjnds, feet, fjfes, irises, retinjs, ejrs, teeth, veins, voifes, signjtures, tâping stâles, gjits, odors, jnd ¨°.

Œerson refognition bjsed on biometrif fejtures hjs jttrjfted more jttention in designing sefuritâ sâstem. In this pjper we present j new biometrif sâstem bjsed on fornejl topogrjphâ. Cornejl topogrjphâ is j non¸invjsive medifjl imjging tefhnique to jssess the shjpe of the fornej in ophthjlmologâ. Figure Ï shows tâpifjl fornejl topogrjphies

½imjges) of the jnterior surfjfe elevjtion from 2 different subjefts. „hese imjges

½j.k.j. elevjtion mjps) show the mejsured height with respeft to j referenfe ½best¸fit) sphere with pseudo¸folors where wjrm folors depift points higher thjn the sphere jnd fool folors forrespond to lower points. One fjn ejsilâ see thjt these mjps jre different from one individujl to the other ½uniqueness). „he idej of using this phâsifjl fhjrjfteristif for biometrifs jlso fomes from its stjbilitâ during the life of the person

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½permjnenfe) [®CI0Ï]. |owever with jge, the shjpe of the jnterior jnd the posterior fornejl surfjfe might fhjnge slightlâ [¨SV0Á],but this is j slow profess thjt would onlâ nefessitjte offjsionjl updjte ½e.g. everâ 5 âejrs). °lso fornejl topogrjphies jre more prjftifjl to mjnipuljte ½mejsurjbilitâ) fompjred with other djtj of biometrif modjlities thjt require pretrejtment sufh js filtering, eåtrjftion of the region of interests etf. °ftujllâ, the fornejl shjpe is fertjinlâ suitjble for biometrifs befjuse it sjtisfies the following requirements: U°ŽœÖ¨¥Þ…Ž¢y` JŽ¥¢Ž°Ú¢ŽœÖ°Ö¥¥` PÖ¨‚Þ°Ö°ÚÖ Þ°Ø K®……ÖÚ¢Þ܎…Ž¢y [ˆx0Á].

Figure Ï: „âpifjl topogrjphies of 2 individujls ½jnterior surfjfe elevjtion mjps).

„he proposed method desfribes the prototâpe of j biometrif refognition sâstem bjsed on fornej where the fornejl surfjfe is modeled bâ using j Zernike polânomijl defomposition [x xš5][š2] limited to the first ÊÁ foeffifients ½K00toK77) jnd fompjred to evjlujte their potentijl js biometrif indifjtors. Our work eåtends the work of .¨. Lewis [LÏÏ] jnd shows thjt the fornejl shjpe fjnrejllâ be j good biometrif jlternjtive for individujl refognition bâ selefting the most disfriminjting fejtures of its geometrâ. For this rejson we propose to jpplâ Zernike polânomijl defomposition, jnd then, L¨° ½…Ž°ÖÞ¨ ؎¥Ú¨Ž‚Ž°Þ°¢ ްޅy¥Ž¥), [SsLÏ0] [„Ï0], to find better shjpe fejtures. „his new biometrif sâstem bjsed on fornejl topogrjphâ is desfribed js j blofk¸dijgrjm in Figure 2.

Figure 2: ®lofk¸dijgrjm of the proposed fornej juthentifjtion sâstem

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2. ¨esfription of the fornej djtjbjse

2ÕÏ Cornej

„he fornej is the outer trjnspjrent pjrt of the eâe, jnd fovers nejrlâ j fifth of the eâebjll surfjfe, with jn jverjge dijmeter of ÏÏ mm. It is the mjin lens of the eâe, responsible for two¸thirds of the dioptrif power ½the remjining third is the eâe lens), thjt trjnsmits jnd fofuses light into the eâe with j refrjftive indeå of Ï.Ê77. „he furvjture rjdius of the jnterior surfjfe vjries between 7 jnd š mm jnd is jpproåimjtelâ Á.5 mm for the posterior surfjfe. In this pjper onlâ the jnterior surfjfe geometrâ is fonsidered, but the methodologâ fould be jpplied to the posterior surfjfe js well, or j fombinjtion of both.

2Õ2 ¨jtj jnd fjpture devife

Cornejl topogrjphâ is j medifjl imjging method for the eåjminjtion of the fornejl shjpe. It is fjst jnd ejsâ ½with in j few sefonds) jnd fould be jdjpted jnd simplified for biometrif jpplifjtions in the future. Currentlâ j fornejl topogrjpher is reljtivelâ eåpensive ½é20v jnd up) but this prife tjg fould diminish with its wider use for biometrifs. In this pjper elevjtion mjps jre fonsidered befjuse theâ provide the full shjpe of the fornej while furvjture mjps jre useful but limited to lofjlißed vjrijtions of shjpe. |owever furvjture will be investigjted in the future sinfe theâ hjve hjd some suffess in mjtfhing ʨ biometrif djtj in the pjst [vvÏÊ] [vvZÏÏ]‚ „he djtjbjse wjs done bâ using the Orbsfjn II topogrjpher ½®jusfh å Lomb). ‚tilißing j sfjnning slit of light, it gives jnterior ½jnd posterior) surfjfe elevjtion djtj with jn error mjrgin of Ï mifron. „he fornejl shjpe wjs reforded js j uniformlâspjfed Ï0Ï×Ï0Ï grid ½imjge) of rjw elevjtions ½Z), spjfed bâ0.Ï mm jlong the X jnd Z jåis. „he fornej djtjbjse is fomposed of Ï0Ç subjefts, ejfh hjs two ½within¸fljss) mejsures to jssess repejtjbilitâ lejding to j totjl of 20œ imjges ½elevjtion topogrjphies).

ÊÕ ¢ejture eåtrjftion

In order to eåtrjft the fejtures of the fornejl shjpe, we present j methodologâ for jnjlâsing Orbsfjn II djtj. „he tefhnique involves defomposing the fornejl height djtj in terms of the orthonormjl set of Zernike polânomijls [°|®šÇ] [š2]. „hen, j linejr disfriminjnt jnjlâsis ½L¨°) is used to seleft the fejtures ½fombinjtion of foeffifients) whifh jre the most effeftive to produfe optimjl fluster sepjrjbilitâ jnd fonsequentlâjffurjte refognition results.

ÊÕÏ Zernike polânomijls

„he Zernike polânomijls jrej set of funftions &M±N �q� thjt jre orthonormjl over the fontinuous unit firfle. „heâhjve been used eåtensivelâfor phjse fontrjst mifrosfopâ, optifjl jberrjtion theorâ, jnd interferometrif testing to fit wjve¸front djtj. „hese funftions jre fhjrjfterißed bâ j polânomijl vjrijtion in the rjdijl direftion � ½for 0≤ � ≤Ï) jnd j sinusoidjl vjrijtion in the jßimuthjl direftion �. „he polânomijls jre defined mjthemjtifjllâbâ

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&M∓N=

E MU G �MN � «osN� L<UN E MU G �MN � sinN� L< N MU G �MN � L< N=I

½Ï)

here

MN � = G ; M ; c

;c MUN

E ; c M N

E ; c

M N E

;=I

M E; LE)

°is the order of the polânomijl in the rjdijl direftion�, jnd‚is the frequenfâ in the jßimuthjl direftion�. Sinfe the Zernike polânomijls jre orthogonjl over the fontinuous unit firfle jnd the lower¸order terms represent fjmilijr fornejl shjpes. „heâ jppejr to be jn idejl set of funftions for defomposing jnd jnjlâßing fornejl surfjfe height. „he rejder is refered to [x xš5] for more detjils on the use of Zernike polânomijls for ʨ

surfjfe shjpe enfoding.

ÊÕ2 Œreliminjrâ tests

„he fornejl height djtj were defomposed into j linejr fombinjtion of the Zernike funftions, we took the first ÊÁ Zernike foeffifients js j fejture veftor for one fornej

½Ø=ÊÁ). For ejfh individujl we therefore hjve two fejture veftors ½two mejsures) of siße ÊÁ. „o show thjt the fornejl topogrjphâ fjn be j good biometrif jlternjtive, two sets of fompjrison were professed, Ï0Ç mjtfhing fompjrisons ½with two different jfquisitions from the sjme subjeft) jnd 5Ê5Á non¸mjtfhing¸fompjrisons ½with two different jfquisitions from two different subjefts), bâ fomputing the jbsolute differenfe

½°¨) between jll foeffifients. Figure Ê shows the mejn °¨ for ejfh foeffifient for the two tests. „he more the differenfe between green jnd red bjrs for j pjrtifuljr

Figure Ê: sejn differenfe for ejfh Zernike foeffifients within ½green) jnd between ½red) fljsses.

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Ï T Ï ½7) yx œ

foeffifient, the more this foeffifient is seleftive for j biometrif jpplifjtion. For this rejson, we propose to seleft j fombinjtion of the most informjtive foeffifients with L¨° in the neåt seftion.

ÊÕÊ L¨° for fejture eåtrjftion

Linejr disfriminjnt jnjlâsis is j powerful method for pjttern refognition âielding jn effeftive representjtion thjt linejrlâ trjnsforms the originjl djtj spjfe into j lower dimensionjl fjture spjfe where the djtj is js well sepjrjted js possible. e brieflâ desfribe it.Suppose thjt there jreÚfljsses ½Ú=Ï0Ç) jnd ejfh fljss hjs°trjining fejture veftor sjmples ½°=2). „he between¸fljss jnd totjl sfjtter mjtrifes of L¨° jre fjlfuljted using ¥q ½Ç) jnd ¥q ½5):

where QPdenotes the‹th trjining sjmple of theŽth fljss, Qstjnds for the mejn of theŽth fljss jnd represents the mejn of jll the trjining sjmples. „he eigen¸equjtion of L¨°

is js follows:

If jll the eigenvjlues of ¥q ½Ï2) jre ordered

 

Ï2...jnd the forresponding eigenveftors jre,œ œÏ, 2..., L¨° eåploits the eigenveftors forresponding to the first ljrgest eigenvjlues to trjnsform the originjl d¸dimensionjl veftor of ejfh sjmple ½Ø=ÊÁ) into j ¨ dimensionjl veftor. Letx xÏ...xØTdenote j sjmple, the L¨°¸bjsed fejture eåtrjftion result forxwith regjrd to the first eigenveftor is:

jnd so on for the other eigenveftors. „jbleÏ shows jn eåjmple of the Zernike foeffifients jnd the results of L¨° for one individujl, wherex=°Ïjnd °2represent the first jnd the sefond jfquisition respeftivelâ. „heŽ represent eigenvjlues in desfending order. œÏis the first eigenveftor forresponding to the ljrgest eigenvjlueG. From the eigenvjlues in „jbleÏ we see thjt the originjl informjtion is mostlâ kept in the first eigenveftors. „his fjn be interpreted js some Zernike foeffifients ½jnd their jpproprijte fombinjtions) hjve j more powerful weight for disfriminjtion of fornejl topogrjphâ.

For instjnfe, is disfriminjtive ½see Figure Ê) befjuse the red bjr is mufh higher thjn the green bjr ½š5ç differenfe), this forresponds to j mufh higher ½jbsolute) vjlue in the veftor œÏ, fonverselâ II is not disfriminjtive ½šç differenfe) jnd the forresponding vjlues in mufh smjller js eåpefted. It is interesting to notife thjt Lewis [LÏÏ] removed this foeffifient ½with Ê others) in his jnjlâsis due to its high vjrijnfe.

  

Ï

½Ç)

Ú T

‹ ‹

Ü Ž Ž Ž Ž

Ž

S Þ Þ Þ Þ

 

Ï Ï

½5)

Ú ° T

‹ ‹

¢ Ž Ž

Ž ‹

S Þ Þ Þ Þ

  

     

  



 

Á

Ü ¢

S œS œ

02

K

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 

ã ã

Ï

, Ï ½œ)

N

Ž Ž

Ž

J x x x x

N

„jble Ï: Zernike foeffifients jnd the results of L¨° for one individujl ½x=°Ïjnd °2) Zernike

Coeffifients L¨° ˆesults

°Ï °2 Ê

Ž Ï0

  G

II 2.ϜÊÊ 2.ÊÏ25 Ï.œœ5Á ¸0Õ0005

GG ¸0.0Ï0Á ¸0.0ÏÊÁ 0.ÏÇʜ ¸0.0Ê0š

GG 0.002Ê 0.00ÁÇ 0.07Ϝ ¸0.2ÁœÁ

EE ¸0.00Ï2 0.0007 0.0505 0.ÏÏÏ0

IE ¸0.œÊœÊ ¸0.œÊœš 0.0Ç2Ç ¸0ÕÇÊ7š

EE 0.00Ï7 ¸0.0027 0.0ÊÊ5 ¸0.0Ç0Á

CC ¸0.002Ç ¸0.000Ç 0.02œš ¸0.0šœÇ

GC ¸0.002Ï ¸0.00ÇÇ 0.0Ϛ0 0.0šÏÏ

GC 0.00ÊÏ 0.00ÊÇ 0.0Ï50 0.50ÏÊ

CC ¸0.00Ç5 ¸0.00Ï5 0.0ÏÊÏ 0.02š0

… … … … …

ÇÕ ¥åperimentjl result

In order to jnjlâße the performjnfe of the proposed fornejl biometrif jlgorithm, we fompjred the fejture veftors ³n§ bâ fomputing this mejn distjnfe:

For the first eåperiment, we used the =ÊÁ Zernike foeffifients js fornej mjtfher Ï, then j fombinjtion of Zernike foeffifients with L¨° js fornej mjtfher 2. „o evjlujte the performjnfe of the sâstem, the ¥qujl ¥rror ˆjte ½¥¥ˆ) friterion wjs emploâed. „he sâstem threshold vjlue wjs obtjined using the ¥¥ˆ friterij when Fjlse °ffeptjnfe ˆjte

½F°ˆ) equjls Fjlse ˆejeft ˆjte ½Fˆˆ). „his wjs determined from the ˆefeiver Operjting Chjrjfteristif ½ˆOC) Curve. „he lower the ¥¥ˆ, the better is the sâstem performjnfe. °nother performjnfe mejsure is the  enuine °ffeptjnfe ˆjte:

 °ˆ=ϸFˆˆ. „he lowest F°ˆ thjtâields j  °ˆ of Ï00ç wjs selefted from the ˆOC furve. „jble 2 shows these results for mjtfherÏ jnd mjtfher 2. In the ljtter fjse, different numbers ½¨) of fejtures were tested, the best fhoife wjs ¨= Ê fejtures jnd is used in the following. Fig. Ç jnd Fig. 5 show the ˆOC furves for the two mjtfhers. ith jll Zernike foeffifients the ¥ˆˆ wjs 2.œœç jnd the  °ˆ wjs improved to Ï00ç with j F°ˆ of 5.77ç ½See Figure Ç ½j) jnd Figure Ç ½b)). „hese results jre similjr to those of Lewis [LÏÏ] who reported ¥¥ˆ of less thjn Ç perfents with j similjr jpprojfh jnd jnother djtjset. ith L¨° jnd¨=Ê we jfhieved j 0.šÁç ¥¥ˆ jnd j F°ˆ of 0.šÁç

½See Figure 5 ½j) jnd Figure 5 ½b)). „his vjlue 0.šÁç forreponds to onlâ one fjlse jffeptjtion out of the Ï0Ç identififjtion jttempts. „his fonfirms the effifienfâof fornej js biometrifs jnd L¨° for the seleftion of the most representjtive fejtures from the fombinjtion of Zernike foeffifients.

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„jble 2 ˆesults for the two fornej mjtfhers

½j) ½b)

Figure: Ç ˆOC furves for jll Zernike Coeffifients ½Ø= ÊÁ)

½j) ½b)

Fig 5 ˆOC furves for Zernike Coeffifients with L¨° ½¨= Ê)

sethodologâ F°ˆ½ç) ¥¥ˆ½ç)

Zernike ¨ 5.77 2.œœ

Zernike º L¨°

Ï 20.2 7.œ2

2 Ç.œ Ç.5

Ê 0.šÁ 0.šÁ

Ç Ï.š2 0.šÁ

5 0.šÁ 0.šÁ

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5Õ Conflusion jnd future work

„he objeftive of this work wjs to investigjte Ú®¨°Öޅ ¢®¬®Ò¨Þ¬‘y js jn jffurjte biometrif modjlitâ using shjpe disfriminjting fejtures. Our proposed method bâ using L¨°, fonvert j ظdimensionjl Zernike fejture veftor ½Ø=ÊÁ) into j smjller

¨¸dimensionjl fejture veftor ½¨=Ê) jllowing to keep the relevjnt œœç of informjtion of the initijl fejture veftor. „he results obtjined ½¥¥ˆ less thjn Ïç) fonfirm thjt fornejl topogrjphâ fould be jn effeftive biometrif method. soreover, we eåpeft thjt the fusion of fornejl fejtures with other biometrif modjlities fould jfhieve higher performjnfe. In the future we pljn to studâ: ½Ï) other fornejl shjpe desfriptors sufh js furvjture, ½2) influde the posterior surfjfe in the biometrif jssessment, ½Ê) rejliße j new biometrif djtjbjse with more within¸fljss fompjrisons jnd ½Ç) test other topogrjphers sufh js the Œentjfjm ½Ofulus).

ˆeferenfes

[C¨x05] Chen Z., ¨jss S. C., jnd xjin. °. v. íFingerprint Šujlitâ Indifes for Œredifting

°uthentifjtion Œerformjnfeí. In Fifth °V®Œ°, pjges ÏÁ0–Ï70, ˆâe ®rook, xulâ2005.

[L®SÏÏ] ˆ. Œ. Lemes, O. ˆ. Œ. ®ellon, L. Silvj, jnd °nil v. xjin, í®iometrif ˆefognition of

ewborns: Identififjtion using Œjlmprintsí, IxC®, jshington, ¨C, Oft. ÏϸÏÊ, 20ÏÏ.

[¨0Ê] x. ¨jugmjn, í„he importjnfe of being rjndom: stjtistifjl prinfiples of iris refognitioní,

Œjtterns ˆefognition,ÊÁ ½200Ê), 27š¸2šÏ.

[ZvÏÏ] Z. Zhou jnd °. vumjr, í|umjn identififjtion using pjlm¸vein imjgesí, I¥¥¥ „rjns.

Informjtion Forensifs å Sefuritâ, vol. Á, pp. ÏÏ5š¸Ï27Ç, ¨ef. 20ÏÏ.

[¨SV0Á] s. ¨ubbelmjn, V.°.¨.Œ. Sifjm,  .L. Vjn der |eijde.í„he shjpe of the jnterior jnd posterior surfjfe of the jging humjn fornejí, Vision ˆesejrfh ÇÁ ½200Á) ššÊ–Ï00Ï.

[®CI0Ï] „. ®uehren, s. x. Collins, ¨. ˆ. Iskjnder, ®. ¨jvis, jnd ®. Lingelbjfh,í„he stjbilitâof fornejl topogrjphâin the post¸blink intervjlí, Cornej, vol. 20, no. œ, 200Ï.

[ˆx0Á] °. ˆoss, v. jndjkumjr jnd °.v. xjin, í|jndbook of sultibiometrifsí, Springer Verljg, pjgeϚ,200Á.

[x xš5] xohn ¥.  reivenkjmp jnd xoseph s. siller, íˆepresentjtion of videokerjtosfopif height djtj with Zernike polânomijlsí, x. Opt. Sof. °m. °ÓVol. Ï2, o. Ï0ÓOftober Ϛš5.

[š2] ˆ. |. ebb, íZernike polânomijl desfription of ophthjlmif surfjfesí, inO¬‘¢‘Þ…‚ŽÚ Þ°Ø VŽ¥ŸÞ… O¬¢ŽÚ¥` Vol. Ê of Ϛš2 OS° „efhnifjl ¨igest Series ½Optifjl Sofietâof

°merifj, jshington, ¨.C., Ϛš2), pp. ʜ–ÇÏ.

[LÏÏ] . ¨. Lewis, íCornejl topogrjphâ mejsurements for biometrif jpplifjtionsí, Œh.¨.

dissertjtion, ‚niversitâof °rißonj, 20ÏÏ.

[SsLÏ0] F. Song, ¨. sei, jnd |. Li, íFejture seleftion bjsed on linejr disfriminjnt jnjlâsisí, in

Œrof. 20Ï0 Int. Conf. Intelligent Sâstem ¨esign jnd ¥ngineering °pplifjtion, Chjngshj, Chinj, ov.Ó¨ef. 20Ï0, vol. Ï, pp. 7ÇÁ¸7ǚ.

[„Ï0] s. |. guâen, F. d. „orre. íOptimjl fejture seleftion for support veftor mjfhinesí,

Œjttern ˆefognition, ÇÊ ½Ê): sjrfh 20Ï0.

[ ÏÏ] ¨.  jtinel, í„opogrjphie fornéenneí, 20ÏÏ, ¥lsevier sjsson S°S. IS®:š7œ¸2¸2šÇ¸

7ÏÏÊǸÊ

[vvÏÊ] °. vumjr jnd C. vwong, í„owjrds fontjftless, low¸fost jnd jffurjte ʨ fingerprint identififjtioní, Œrof. CVŒˆ 20ÏÊ, pp. ÊÇʜ¸ÊÇÇÊ xune 20ÏÊ.

[vvZÏÏ] V. vjnhjngjd, °. vumjr jnd ¨. Zhjng, í° unified frjme work for fontjftless hjnd verififjtioní, I¥¥¥ „rjns. Info. SefuritâForensifs, vol. 20, pp. ÏÇÏ5¸ÏÇ2Ç, sjâ20ÏÏ.

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Our view is that within the antennal lobe, the cellular network formed by OSNs, local inter- neurons, and projection neurons extracts information and creates an optimized