@InProceedings{8081346,
  author = {M. Gomez-Barrero and C. Rathgeb and K. B. Raja and R. Raghavendra and C. Busch},
  booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},
  title = {Biometrie symmetry: Implications on template protection},
  year = {2017},
  pages = {941-945},
  abstract = {In the past, many efforts have been directed to develop biometrie template protection schemes to guard bio-metric reference data, i.e. templates. One fundamental premise in the design of such schemes is that the average entropy of the templates should be maximised in order to improve the level of protection. In parallel, several works have addressed the difficult problem of measuring the average entropy of biometric characteristics. However, the impact of the correlation present in different regions of a single biometric characteristic (e.g., left and right part of the face) or within two instances of a single subject (e.g., left and right palmprints) on the joint entropy of a multi-biometric template has been overlooked os far. In this paper, we address this issue and propose a way to measure such correlation from an information theoretical perspective. We then apply the proposed measure to a particular case study based on periocular biometrics, using the MobBIO database. The results show that up to 70% of the information comprised in both periocular regions of a given subject is correlated. Finally, we analyse the implications of such average mutual information loss on biometric template protection schemes.},
  keywords = {biometrics (access control);database management systems;entropy;face recognition;feature extraction;fingerprint identification;iris recognition;biometric template protection schemes;average entropy;biometric characteristics;single biometric characteristic;multibiometric template;periocular biometrics;periocular regions;average mutual information loss;biometric template protection;biometric symmetry;biometric reference data;Feature extraction;Entropy;Correlation;Face;Mutual information;Iris recognition;Privacy},
  doi = {10.23919/EUSIPCO.2017.8081346},
  issn = {2076-1465},
  month = {Aug},
}

{"_id":"LZ6eA2SFzDFjkpSCu","bibbaseid":"gomezbarrero-rathgeb-raja-raghavendra-busch-biometriesymmetryimplicationsontemplateprotection-2017","authorIDs":[],"author_short":["Gomez-Barrero, M.","Rathgeb, C.","Raja, K. B.","Raghavendra, R.","Busch, C."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["M."],"propositions":[],"lastnames":["Gomez-Barrero"],"suffixes":[]},{"firstnames":["C."],"propositions":[],"lastnames":["Rathgeb"],"suffixes":[]},{"firstnames":["K.","B."],"propositions":[],"lastnames":["Raja"],"suffixes":[]},{"firstnames":["R."],"propositions":[],"lastnames":["Raghavendra"],"suffixes":[]},{"firstnames":["C."],"propositions":[],"lastnames":["Busch"],"suffixes":[]}],"booktitle":"2017 25th European Signal Processing Conference (EUSIPCO)","title":"Biometrie symmetry: Implications on template protection","year":"2017","pages":"941-945","abstract":"In the past, many efforts have been directed to develop biometrie template protection schemes to guard bio-metric reference data, i.e. templates. One fundamental premise in the design of such schemes is that the average entropy of the templates should be maximised in order to improve the level of protection. In parallel, several works have addressed the difficult problem of measuring the average entropy of biometric characteristics. However, the impact of the correlation present in different regions of a single biometric characteristic (e.g., left and right part of the face) or within two instances of a single subject (e.g., left and right palmprints) on the joint entropy of a multi-biometric template has been overlooked os far. In this paper, we address this issue and propose a way to measure such correlation from an information theoretical perspective. We then apply the proposed measure to a particular case study based on periocular biometrics, using the MobBIO database. The results show that up to 70% of the information comprised in both periocular regions of a given subject is correlated. Finally, we analyse the implications of such average mutual information loss on biometric template protection schemes.","keywords":"biometrics (access control);database management systems;entropy;face recognition;feature extraction;fingerprint identification;iris recognition;biometric template protection schemes;average entropy;biometric characteristics;single biometric characteristic;multibiometric template;periocular biometrics;periocular regions;average mutual information loss;biometric template protection;biometric symmetry;biometric reference data;Feature extraction;Entropy;Correlation;Face;Mutual information;Iris recognition;Privacy","doi":"10.23919/EUSIPCO.2017.8081346","issn":"2076-1465","month":"Aug","bibtex":"@InProceedings{8081346,\n author = {M. Gomez-Barrero and C. Rathgeb and K. B. Raja and R. Raghavendra and C. Busch},\n booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},\n title = {Biometrie symmetry: Implications on template protection},\n year = {2017},\n pages = {941-945},\n abstract = {In the past, many efforts have been directed to develop biometrie template protection schemes to guard bio-metric reference data, i.e. templates. One fundamental premise in the design of such schemes is that the average entropy of the templates should be maximised in order to improve the level of protection. In parallel, several works have addressed the difficult problem of measuring the average entropy of biometric characteristics. However, the impact of the correlation present in different regions of a single biometric characteristic (e.g., left and right part of the face) or within two instances of a single subject (e.g., left and right palmprints) on the joint entropy of a multi-biometric template has been overlooked os far. In this paper, we address this issue and propose a way to measure such correlation from an information theoretical perspective. We then apply the proposed measure to a particular case study based on periocular biometrics, using the MobBIO database. The results show that up to 70% of the information comprised in both periocular regions of a given subject is correlated. Finally, we analyse the implications of such average mutual information loss on biometric template protection schemes.},\n keywords = {biometrics (access control);database management systems;entropy;face recognition;feature extraction;fingerprint identification;iris recognition;biometric template protection schemes;average entropy;biometric characteristics;single biometric characteristic;multibiometric template;periocular biometrics;periocular regions;average mutual information loss;biometric template protection;biometric symmetry;biometric reference data;Feature extraction;Entropy;Correlation;Face;Mutual information;Iris recognition;Privacy},\n doi = {10.23919/EUSIPCO.2017.8081346},\n issn = {2076-1465},\n month = {Aug},\n}\n\n","author_short":["Gomez-Barrero, M.","Rathgeb, C.","Raja, K. B.","Raghavendra, R.","Busch, C."],"key":"8081346","id":"8081346","bibbaseid":"gomezbarrero-rathgeb-raja-raghavendra-busch-biometriesymmetryimplicationsontemplateprotection-2017","role":"author","urls":{},"keyword":["biometrics (access control);database management systems;entropy;face recognition;feature extraction;fingerprint identification;iris recognition;biometric template protection schemes;average entropy;biometric characteristics;single biometric characteristic;multibiometric template;periocular biometrics;periocular regions;average mutual information loss;biometric template protection;biometric symmetry;biometric reference data;Feature extraction;Entropy;Correlation;Face;Mutual information;Iris recognition;Privacy"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/Roznn/EUSIPCO/main/eusipco2017url.bib","creationDate":"2021-02-13T16:38:25.615Z","downloads":0,"keywords":["biometrics (access control);database management systems;entropy;face recognition;feature extraction;fingerprint identification;iris recognition;biometric template protection schemes;average entropy;biometric characteristics;single biometric characteristic;multibiometric template;periocular biometrics;periocular regions;average mutual information loss;biometric template protection;biometric symmetry;biometric reference data;feature extraction;entropy;correlation;face;mutual information;iris recognition;privacy"],"search_terms":["biometrie","symmetry","implications","template","protection","gomez-barrero","rathgeb","raja","raghavendra","busch"],"title":"Biometrie symmetry: Implications on template protection","year":2017,"dataSources":["2MNbFYjMYTD6z7ExY","uP2aT6Qs8sfZJ6s8b"]}