Face Image Normalization and Expression/Pose Validation for the Analysis of Machine Readable Travel Documents. Storer, M., Urschler, M., Bischof, H., & Birchbauer, J., A. In 32nd Workshop of the Austrian Association for Pattern Recognition: Challenges in the Biosciences: Image Analysis and Pattern Recognition Aspects, pages 29-39, 2008.
abstract   bibtex   
Biometrics is a huge and very fast growing domain of methods for uniquely recognizing humans based on one or more intrinsic physical or behavioral traits. Hence, there are many different applications, e.g., surveillance, person verification and identification. The International Civil Aviation Organization (ICAO) provides a number of specifications to prepare automated recognition from travel document photos. The goal of these specifications is increasing security in civil aviation on the basis of standardized biometric data. In this context we are concerned with the strict requirements of deviation from frontal pose, eyes-open, mouth-closed, and eyes looking away for assessing the suitability of face images for inclusion in travel documents. Due to this international standard, there is a high demand for automatically checking face images to assist civil service employees in decision-making. In this work, we present a face normalization and analysis system implementing several parts of the ICAO specification. Our key contribution of this analysis is the fusion of different established classifiers to boost performance of the system. Our results show the superior checking quality of our methods in comparison to state-of-the-art technology of two commercial vendors.
@inproceedings{
 title = {Face Image Normalization and Expression/Pose Validation for the Analysis of Machine Readable Travel Documents},
 type = {inproceedings},
 year = {2008},
 pages = {29-39},
 city = {Linz, AT},
 id = {dac3e54c-853b-331a-86e0-343d91127f40},
 created = {2015-02-18T08:30:19.000Z},
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 profile_id = {53d1e3c7-2f16-3c81-9a84-dccd45be4841},
 last_modified = {2019-11-08T01:40:38.890Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Storer2008b},
 notes = {Oral},
 folder_uuids = {0ec41d70-75f1-4a99-820b-0a83ccc37f54},
 private_publication = {false},
 abstract = {Biometrics is a huge and very fast growing domain of methods for uniquely recognizing humans based on one or more intrinsic physical or behavioral traits. Hence, there are many different applications, e.g., surveillance, person verification and identification. The International Civil Aviation Organization (ICAO) provides a number of specifications to prepare automated recognition from travel document photos. The goal of these specifications is increasing security in civil aviation on the basis of standardized biometric data. In this context we are concerned with the strict requirements of deviation from frontal pose, eyes-open, mouth-closed, and eyes looking away for assessing the suitability of face images for inclusion in travel documents. Due to this international standard, there is a high demand for automatically checking face images to assist civil service employees in decision-making. In this work, we present a face normalization and analysis system implementing several parts of the ICAO specification. Our key contribution of this analysis is the fusion of different established classifiers to boost performance of the system. Our results show the superior checking quality of our methods in comparison to state-of-the-art technology of two commercial vendors.},
 bibtype = {inproceedings},
 author = {Storer, M and Urschler, M and Bischof, H and Birchbauer, J A},
 booktitle = {32nd Workshop of the Austrian Association for Pattern Recognition: Challenges in the Biosciences: Image Analysis and Pattern Recognition Aspects}
}

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