文件列表:

BF_extraction_iriscodes.py (6871, 2017-11-14)
computeScores.py (3763, 2017-11-14)
hda-license.pdf (492081, 2017-11-14)

# BTP based on Bloom filters for iris-codes Biometric Template Protection based on Bloom filters for iris-codes. Bloom filter template extraction based on the method proposed in [[IET14]](http://ieeexplore.ieee.org/abstract/document/6***5870/) and [[IF18]](http://www.sciencedirect.com/science/article/pii/S1566253516301233). ## License This work is licensed under license agreement provided by Hochschule Darmstadt ([h_da-License](/hda-license.pdf)). ## Instructions ### Dependencies * numpy * math * argparser * os * random.sample ### Usage 1. Run BF_extraction_iriscodes.py to extract the protected templates from iris-codes provided. ```python usage: BF_extraction_iriscodes.py [-h] [--DB_BFtemplates [DB_BFTEMPLATES]] DBdir Extract unprotected LGBPHS and protected Bloom filter templates from the FERET DB. positional arguments: DBdir directory where the compressed face DB is stored optional arguments: -h, --help show this help message and exit --DB_BFtemplates [DB_BFTEMPLATES] directory where the unprotected face templates will be stored --nXORKeys [NXORKEYS] number of keys for the XOR operation for the feature level fusion. for a unimodal system it should be the default: 0 ``` 1. Input: folder containing the iris-codes to be protected with the Bloom filter based transformation. Each iris-code should be stored as a text file, with one row per line. 2. Output: extracted templates, stored as text files in DB_BFtemplates. 3. Other parameters for the Bloom filter template extraction might be changed at the top of the script. The values used in [IET14] and [IF18] are included as default. 2. Run computeScores.py to compute the mated and non-mated scores ```python usage: computeScores.py [-h] [--scoresDir [SCORESDIR]] [--matedScoresFile [MATEDSCORESFILE]] [--nonMatedScoresFile [NONMATEDSCORESFILE]] DB_BFtemplates matedComparisonsFile nonMatedComparisonsFile Compute protected Bloom filter scores from a given DB and protocol. positional arguments: DB_BFtemplates directory where the protected BF templates are stored matedComparisonsFile file comprising the mated comparisons to be carried out nonMatedComparisonsFile file comprising the non-mated comparisons to be carried out optional arguments: -h, --help show this help message and exit --scoresDir [SCORESDIR] directory where unprotected and protected scores will be stored --matedScoresFile [MATEDSCORESFILE] file comprising the mated scores computed --nonMatedScoresFile [NONMATEDSCORESFILE] file comprising the non-mated scores computed ``` 1. Input: folder with the protected templates and the files comprising the mated and non-mated comparisons. Such files should comprise one comparison per line, with the two files to be compared separated by a blank space. The directory should *not* be included in the filename. 2. Output: mated and non-mated scores, stored in text files with one score per row. ## References More details in: - [[IET14]](http://ieeexplore.ieee.org/abstract/document/6***5870/) C. Rathgeb, F. Breitinger, C. Busch, H. Baier, "On application of bloom filters to iris biometrics", in IET Biometrics, vol. 3, no. 4, pp. 207 - 218, 2014 - [[IF18]](http://www.sciencedirect.com/science/article/pii/S1566253516301233) M. Gomez-Barrero, C. Rathgeb, G. Li, R. Raghavendra, J. Galbally and C. Busch, "Multi-Biometric Template Protection Based on Bloom Filters", in Information Fusion, vol. 42, pp. 37-50, 2018. Please remember to reference articles [IET14] and [IF18] on any work made public, whatever the form, based directly or indirectly on these scripts.

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