Yaseen Moolla

• MSc
• Senior Information Security Researcher at Council for Scientific and Industrial Research, South Africa

One of the first recognised and commonly used biometric modalities for men is the fingerprint, which is frequently used to register adults at home and in traffic centres. Fingerprint biometrics for babies, in particular, are not commonly used or approved. The infant recognition system discussed in this article is tested in infants as early as six w...

Collecting relevant data is an important aspect in allowing evaluation of the performance of systems, methods, algorithms, and techniques developed in the research process. Researchers at the South African Scientific and Industrial Research Council perfoemd a study to identify biometric(s) that can be used to identify and verify young children from...

Geospatial data is often perceived as only being related to maps, compasses and locations. However, the application areas of geospatial data are far wider and even extend to the field of cybersecurity. Not only is there an ability to show points of interest and emerging network traffic conditions, geospatial data also has the ability to model cyber...

Biometric recognition is often used for adults for a variety of purposes where an individual’s identity must be ascertained. However, the biometric recognition of children is an unsolved challenge. Solving this challenge could protect children from identity theft and identity fraud, help in reuniting lost children with their parents, improve border...

IEEE˜ IEEE˜Abstract-Image quality assessment plays an important role in enhancing the performance of pattern recognition systems, including biometric systems. Although, quality assessment methods have been utilized for iris recognition on adults they have not been investigated on iris recognition for children. Iris recognition on children is diffic...

New research in fingerprint biometrics uses optical coherence tomography (OCT) technology to acquire fingerprints from where they originate below the surface of the skin. The penetrative nature of this technology means that rich information is available regarding the structure of the skin. This access, in turn, enables new techniques in detecting s...

Fingerprints are widely used for biometric authentication, identification, and access control. However, most current acquisition devices obtain fingerprints from the surface of the skin and are thus inherently restricted by the surface 2D representation they offer. Using an emerging fingerprint acquisition technology – optical coherence tomography...

Fingerprint recognition is an important security technique with a steadily growing usage for the identification and verification of individuals. However, current fingerprint acquisition systems have certain disadvantages, which include the requirements of physical contact with the acquisition device, and the presence of undesirable artefacts, such...

Fingerprint recognition is an important security technique with a steadily growing usage for the identification and verification of individuals. However, current fingerprint acquisition systems have certain disadvantages, which include the requirements of physical contact with the acquisition device, and the presence of undesirable artefacts, such...

Although handwritten signature verification has been extensively researched, it has not achieved an optimal classification accuracy rate. Therefore, efficient and accurate signature verification techniques are required since signatures are still widely used as a means of personal verification. This research work presents efficient distance-based cl...

Although handwritten signature verification has been extensively researched, it has not achieved optimum accuracy rate yet. Therefore, efficient and accurate signature verification techniques are required since signatures are still widely used as a means of personal verification. This paper presents an alternative efficient classification technique...

Signatures are one of the behavioural biometric traits, which are widely used as a means of personal verification. Therefore, they require efficient and accurate methods of authenticating users. The use of a single distance-based classification technique normally results in a lower accuracy compared to supervised learning techniques. This paper inv...