Digital libraries store images which can be highly degraded and to index this kind of images we resort to word spotting as our information retrieval system. Information retrieval for handwritten document images is more challenging due to the difficulties in complex layout analysis, large variations of writing styles, and degradation or low quality of historical manuscripts. This paper presents ...

The Local Binary Pattern (LBP) operator computes a local texture measure that is invariant to monotonic transformations of the image grey-scale. As a result of this property, calculating the LBP value in each channel of a colour image results in a triplet of values that are invariant to changes in illumination colour. Previous research has shown that histograms of grey-scale LBP values, and his...

This paper presents a novel approach for texture classification and relevance with generalizing the well-known local binary patterns (LBP).

Video-based face recognition is a very challenging problem as there is a variation in resolution, illumination, pose, facial expressions and occlusion. In this paper, we have presented an approach for resolution variation video-based face recognition system using the combination of local binary pattern (LBP), principal component analysis (PCA) and feed forward neural network (FFNN). We used, st...

This paper proposes a novel face recognition methodology, which is based on the combination of the texture operator, namely Multi-scale Local Binary Pattern (MSLBP), face image filtering and discriminative feature weighting algorithms. Presented MSLBP principle enhances the discriminative power of the original Local Binary Pattern operator. The combination of the MSLBP and low-pass filtering im...

In this paper, we propose a hybrid statistical feature extractor, Local Haar Mean Binary Pattern (LHMBP). It extracts level-1 haar approximation coefficients and computes Local Mean Binary Pattern (LMBP) of it. LMBP code of pixel is obtained by weighting the thresholded neighbor value of 3  3 patch on its mean. LHMBP produces highly discriminative code compared to other state of the art method...

In this paper, we propose a novel generative approach for face authentication, based on a Local Binary Pattern (LBP) description of the face. A generic face model is considered as a collection of LBP-histograms. Then, a client-specific model is obtained by an adaptation technique from this generic model under a probabilistic framework. We compare the proposed approach to standard state-of-the-a...

With the rapid growth of video services on smartphones such as video conferencing, video telephone and WebTV, implementation of video compression on mobile terminal becomes extremely important. However, the low computation capability of mobile devices becomes a bottleneck which calls for low complexity techniques for video coding. This work presents two set of algorithms for reducing the comple...