Madeena Sultana

Defence Research and Development Canada

BACKGROUND Emotional state in everyday life is an essential indicator of health and wellbeing. However, daily assessment of emotional states largely depends on active self-reports, which is often inconvenient and prone to incomplete information. Automated detection of emotional states and transitions based on daily context could be an effective sol...

"Wikipedia", known as the world's largest online free encyclopedia, is one of the remarkable examples of crowdsourcing, where millions of articles have been produced by volunteers from all over the world. Wikipedia allows anyone to edit articles without being pre-screened or authorized. A user can edit articles using either a valid ID or an IP addr...

This chapter investigates how existing biometric research can be advanced by integrating it with the social behavioural information. Analytical discussions on how social behavioural biometrics can be extracted and applied in various security, and authentication applications will be presented. This chapter also provides some insights onto current an...

The goal of a biometric recognition system is to make a human-like decisions on individual's identity by recognizing their physiological and/or behavioral traits. Nevertheless, the decision-making process by either a human or a biometric recognition system can be highly complicated due to low quality of data or an uncertain environment. Human brain...

Social interactions are integral part of human behavior. Although social interactions are likely to possess unique behavioral patterns, their significance for automated user recognition has been noted in the scientific community only recently. This paper demonstrated that it is possible to generate a set of unique features, called social behavioral...

In recent years, the mass growth of online social networks has introduced a completely new platform of analyzing human behavior. Human interactions via online social networks leave big trails of behavioral footprints, which have been investigated by many researchers for the purpose of targeted advertising and business. However, analysis of such onl...

In recent years, the mass growth of online social networks has introduced a completely new platform of analyzing human behavior. Human interactions via online social networks leave big trails of behavioral footprints, which have been investigated by many researchers for the purpose of targeted advertising and business. However, analysis of such onl...

Person recognition using ear biometric has received significant interest in recent years due to its highly discriminative nature, permanence over time, non-intrusiveness, and easy acquisition process. However, in real-world scenario, ear biometrics are often partially or fully occluded by hair, earrings, headphones, hat/cap, scarf, and other obstac...

Quality variations of samples significantly affect the performance of biometric recognition systems. In case of face recognition systems, illumination degradation is the most common contributor of enormous intra-class variation. Wavelet transforms are very popular techniques for face or object recognition from images due to their illumination insen...

A novel Multi-Resolution Fusion (MRF) of Dual-Tree Complex Wavelet Transform (DTCWT) and Discrete Cosine Transform (DCT) is introduced in this paper. Shift invariant multi-scale feature set is obtained using 2D DTCWT. Subsequently, discriminant DCT coefficients are extracted to map the high dimensional features into low dimensional subspace. The re...

A person can be identified from his physiological traits as well as from behavioral patterns. However, a person's behavior is not only confined to individual actions such as walking or typing style, speech or handwriting but also social interactions and communication. In other words, social communication is an indispensable part of our daily behavi...

Online Social Networking Sites (SNSs) are considered as one of the well-established mediums of mass communication in today's world. Similar to physical world humans tend to have unique pattern of social communication in virtual world. However, analysis of such web based communication patterns is rarely seen for person identification. Most of the ex...

During the Internet era, millions of users are using Web-based Social Networking Sites (SNSs) such as MySpace, Facebook, and Twitter for communication needs. Social networking platforms are now considered a source of big data because of real-time activities of a large number of users. In addition to idiosyncratic personal characteristics, web-based...

During the era of internet, content-based image retrieval (CBIR) systems, where images are searched based on their visual contents, have an increasing demand for numerous real world applications. However, the potential of using multiple CBIR-based features for biometric recognition remains largely unexplored. This research presents an in-depth anal...

Sample quality variation at operation time is one of the major concerns of real time biometric authentication and surveillance systems. Quality deviations of samples affect the performance of many benchmark biometric trait recognition systems. Moreover, large variation between enrolled and probe samples is very uncertain since it may arise at opera...

Face recognition is an extremely challenging task with the presence of expression, orientation, and lightning variation. This paper presents a novel expression and pose invariant feature descriptor by combining Daubechies discrete wavelets transform and lower order pseudo Zernike moments. A novel normalization method is also proposed to obtain illu...

Recently, Content Based Image Retrieval (CBIR) system has drawn enormous attention of researchers because of its efficiency in recognizing images from large databases as well as growing demand from real world applications. According to many, biometrics recognition is one of the most potential applications of CBIR. However, no research work has been...

Traditional median filters perform well in restoring the images corrupted by low density impulse noise, but fail to restore highly corrupted images. Conversely, the advanced adaptive median filters are capable of denoising high density impulse noise but the image details are compromised significantly. In this paper, a new adaptive fuzzy median filt...

In the last few years, Content Based Image Retrieval (CBIR) system, where images are searched based on their visual contents instead of annotated texts, has drawn enormous attention of researchers because of its growing demand from real world applications. According to many, face recognition is one of the most potential applications of CBIR. In thi...

Existing texts play an important role in understanding a scene image. Scene images differ from document images, which are composed of text characters of various size, shape, direction and situation along with complicated backgrounds, such as map, picture or painting, etc. Hence, the extraction of texts in scene images is a difficult as well as chal...

Large image databases find diverse applications in real-life situations. It is essential to develop an efficient technique to grasp required information from these databases. A good number of researchers are involved in developing techniques for object retrieval and recognition using different image features, such as color histogram, distance, and...

Accuracy and computation efficiency are two main criteria for retrieval of an object from large image databases. Recently, we proposed a technique using weighted combination of multiple image features, such as color histogram, distance, and moment features which has shown its effectiveness and robustness in retrieval of trademark images from large...