This paper focuses on the problem of word detection and recognition in natural images. The
problem is significantly more challenging than reading text in scanned documents, and has …

Biometric recognition, or simply biometrics, refers to the use of distinctive anatomical and/or
behavioral characteristics or identifiers (eg, fingerprints, face, iris, voice, and hand geometry) …

A biometric system is vulnerable to a variety of attacks aimed at undermining the integrity of
the authentication process. These attacks are intended to either circumvent the security …

We present a method for spotting words in the wild, ie, in real images taken in unconstrained
environments. Text found in the wild has a surprising range of difficulty. At one end of the …

Two years after the first edition, a new Fingerprint Verification Competition (FVC2002) was
organized by the authors, with the aim of determining the state-of-the-art in this challenging …

Reliable and accurate fingerprint recognition is a challenging pattern recognition problem,
requiring algorithms robust in many contexts. FVC2000 competition attempted to establish …

The Wasserstein distance is an attractive tool for data analysis but statistical inference is
hindered by the lack of distributional limits. To overcome this obstacle, for probability …

This paper is concerned with the performance evaluation of fingerprint verification systems.
After an initial classification of biometric testing initiatives, we explore both the theoretical …

With the wide spread utilization of biometric identification systems, establishing the
authenticity of biometric data itself has emerged as an important research issue. The fact that …

Compared with single biometric recognition, multimodal biometric recognition based on
fingerprint and finger vein has been widely considered because of its convenient sample …