Heterogeneous biometric recognition requires matching images with variations such as resolution and spectrum. Heterogeneity in images often reduces the inter-class homogeneous distance while increasing the intra-class ...

The human mind processes the information in a complex fashion including utilization of color, shape, texture and symmetry-related meta-information. but in conjunction with a strong (domain) knowledge, these can boost the ...

Fingerprint recognition has evolved over the decades, providing innumerable applications for improving the modern day security. Based on the method of capture, fingerprints can be classified into four variants: inked, ...

Modality refers to how something happens or is experienced. It is the representation format in which information is stored. Multimodal Learning involves relating information from multiple sources. Many modalities are ...

Transfer learning is widely used for many applications, but it is difficult to adapt intermediate layers of the network to a new learning task with less data available. Learning the importance that key connections play ...

As the deployment and usage of computer vision systems increase, protecting these systems from malicious data has also become a critical task. The primary source of information in any computer vision system is the input ...

Convolutional neural networks are being extensively used in real world applications like image and video classification, natural language processing, medical image analysis, recommender systems etc. where previously machine ...

Due to the unconstrained nature of data capture and non-cooperative subjects, automatic face recognition is still a research challenge for application scenarios such as law enforcement. We observe that challenges of face ...

The necessity of large labeled training database is ubiquitous now with the development of deep neural networks. But there are multiple challenges to collecting labeled data, with the primary concerns being time and cost ...

Identifying face attributes is an ongoing problem of research which is used in bio-metrics, surveillance etc. In past, researchers have proposed methods which predict single facial attribute at a time. Real-time applications ...