Biometric Recognition Using Deep Learning: A Survey <s> Signature Datasets <s> sssHandwritten signature is the most widely accepted biometric for identity verification. To facilitate objective evaluation and comparison of algorithms in the field of automatic handwritten signature verification, we organized the First International Signature Verification Competition (SVC2004) recently as a step towards establishing common benchmark databases and benchmarking rules. For each of the two tasks of the competition, a signature database involving 100 sets of signature data was created, with 20 genuine signatures and 20 skilled forgeries for each set. Eventually, 13 teams competed for Task 1 and eight teams competed for Task 2. When evaluated on data with skilled forgeries, the best team for Task 1 gives an equal error rate (EER) of 2.84% and that for Task 2 gives an EER of 2.89%. We believe that SVC2004 has successfully achieved its goals and the experience gained from SVC2004 will be very useful to similar activities in the future. <s> BIB001 </s> Biometric Recognition Using Deep Learning: A Survey <s> Signature Datasets <s> The current need for large databases to evaluate automatic biometric recognition systems has motivated the developing of the GPDS-960 corpus, an off-line handwritten signature database which contains 24 genuine signatures and 30 forgeries of 960 individuals. This paper describes the GPDS signature corpus, gives details about the acquisition protocols and presents preliminary verification results obtained using the GPDS data. <s> BIB002
Some of the popular signature verification datasets include: ICDAR 2009 SVC: ICDAR 2009 Signature Verification Competition contains simultaneously acquired online and offline signature samples  . The online dataset is called "NFI-online" and was processed and segmented by Louis Vuurpijl. The offline dataset is called "NFI-offline" and was scanned by Vivian Blankers from the NFI. The collection contains: authentic signatures from 100 writers, and forged signatures from 33 writers. The NLDCC-online signature collection contains in total 1953 online and 1953 offline signature files. SVC 2004: Signature Verification Competition 2004 consists of two datasets for two verification tasks: one for pen-based input devices like PDAs and another one for digitizing tablets BIB001 . Each dataset consists of 100 sets of signatures with each set containing 20 genuine signatures and 20 skilled forgeries. Offline GPDS-960 Corpus: This offline signature dataset BIB002 includes signatures from 960 subjects. There are 24 authentic signatures for each person, and 30 forgeries performed by other people not in the original 960 (1920 forgers in total). Some works have used a subset of this public dataset, usually the images for the first 160 or 300 subjects, dubbing them GPDS-160 and GPDS-300 respectively.