In this paper, a novel approach is made to discard the degradations in full shoe prints and partial shoe prints, in processing those images for recognition. A pass band DCT coefficient has been used to extract feature vectors. A more robust approach has been dealt with to find the matching between the partial shoe prints and the images in the data base. This method makes the shoe print recognit...

The ability of honeybees (Apis mellifera) to learn and recognise peripherally presented patterns was investigated by training bees in a Y-maze which presented patterns on the side walls, the ceiling or the floor. We found that pattern orientation is learnt and recognised in the lateral and frontal visual field, but not in the dorsal or ventral fields. Colour information, in contrast, is used in...

Histogram indexing, also known as jumbled pattern indexing and permutation indexing is one of the important current open problems in pattern matching. It was introduced about 6 years ago and has seen active research since. Yet, to date there is no algorithm that can preprocess a text T in time o(|T|(2)/polylog|T|) and achieve histogram indexing, even over a binary alphabet, in time independent ...

Aerial surveillance images cover a wide area at low resolution [1, 2]. In order to detect objects (e.g., pedestrians) from such videos, conventional methods either utilize appearance information from raw videos or extract blob information from background subtraction results. However, people seen in low resolution images have less appearance information, and hence are very difficulty to classify...

Handwritten character recognition is one of the difficult tasks of pattern recognition due to diverse writing styles. The problem becomes more severe if the characters are written in a cursive fashion with varying orientations. Also there may exist printed characters of different shapes/fonts and sizes in a document image. In the current work, we have presented a novel convex hull based alignme...

In this paper, a method for Automatic Image Registration (AIR) through histogram is proposed. Automatic image registration is one of the crucial steps in the analysis of remotely sensed data. A new acquired image must be transformed, using image registration techniques, to match the orientation and scale of previous related images. This new approach combines several segmentations of the pair of...

 Combination of Eigentransformation, a global intra-modality method [1], with the Eigenpatches local intra-modality approach that has been used for face hallucination [2]. For both approaches, photos are transformed to sketches or vice versa to reduce the modality gap. This allows recognition using a traditional face recogniser.  These algorithms are further fused with an inter-modality metho...

In this paper, a human detection method is developed. An appearance based detector and a motion based detector are proposed respectively. A multi scale block histogram of template feature (MB-HOT) is used to detect human by appearance. It integrates gray value information and gradient value information, and represents relationship of three blocks. Experiment on INRIA dataset shows that this fea...

Creating descriptors for trajectories has many applications in robotics/human motion analysis and video copy detection. Here, we propose a novel descriptor for 2D trajectories: Histogram of Oriented Displacements (HOD). Each displacement in the trajectory votes with its length in a histogram of orientation angles. 3D trajectories are described by the HOD of their three projections. We use HOD t...