ICDAR 2009 Signature Verification Competition

Abstract

Recent results of forgery detection by implementing biometric signature verification methods are promising. At present, forensic signature verification in daily casework is performed through visual examination by trained forensic handwriting experts, without reliance on computerassisted methods. With this competition on on-and offline skilled forgery detection, our objective is to make a first step towards bridging the gap between automated biometric performances and expert-based visual comparisons. We intent to combine realistic forensic casework with automated methods by testing systems on a forensic-like new dataset. The results achieved by the participating systems are promising: 2.85% Equal Error Rate (EER) on the online data and 9.15% on the offline data. From these results we indicate that automated methods might be able to support forensic handwriting experts (FHEs) to formulate the strength of evidence that needs to be reported in court in the future.

Enhanced on-line signature verification based on skilled forgery detection using Sigma-LogNormal Features

“…Hasaine and Al-Maadeed proposed a skilled forgeries and simulated signatures detector based on differences of on-line signals and their histograms [8]. They report Equal Error Rates (EERs) below 0.1% for the QU on-line signature DB (12 subjects) and for the ICDAR2009 signature verification competition dataset [3] (50 subjects).…”

Visual-based online signature verification using features extracted from video

“…For example, the user can modify his or her signature if it is stolen, 1 whereas it is not possible to change his or her face, fingerprints and so on. 2 Moreover, online signature verification can incorporate dynamic information about the handwritten signature, and therefore, it can often achieve higher performance than using static signatures (Plamondon and Lorette, 1989;Blankers et al, 2009).…”

Base de Assinaturas AMODA: Assinaturas na grafia latina com diferentes tamanhos de aquisição

“…Existem várias bases de dados contendo assinaturas manuscritas na grafia latina [3] [4]. Entretanto, não foram encontradas até o momento bases disponíveis na literatura com exemplares com variabilidade de tamanho.…”