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This paper proposes an efficient skin-color and template based technique for automatic ear detection in a side face image. The technique first separates skin regions from non-skin regions and then searches for the ear within skin regions. Ear detection process involves three major steps. First, Skin Segmentation to eliminate all non-skin pixels from the(More)
—This paper presents an enhanced geometric hashing technique suitable for object recognition. Unlike the available geometric hashing, the proposed technique needs less amount of time and memory, uniform index distribution in the hash space without using any rehashing function. It performs indexing and searching in one pass with linear complexity. The(More)
This paper proposes an efficient indexing technique that can be used in an identification system with large multimodal biometric databases. The proposed technique is based on Kd-tree with feature level fusion which uses the multi-dimensional feature vector. A multi dimensional feature vector of each trait is first normalized and then, it is projected to a(More)
This paper presents an efficient technique for automatic ear detection from side face images. The proposed technique detects ear by exploiting its inherent structural details and is rotation , scale and shape invariant. It can detect ear without any training or assuming prior knowledge of the input image. The technique is based on connected component(More)
This paper proposes an efficient indexing scheme that can be used for retrieval from a large iris database. For a given color iris query image, the proposed indexing scheme makes use of iris color to determine an index and uses this index to reduce the search space in the large iris database. Further, for query <i>q</i>, the retrieval technique uses iris(More)
This paper proposes an efficient indexing technique which can be used in an identification system with large multimodal biometric database. In this technique, multi-dimensional feature vectors of each trait (iris, signature, ear and face) are normalised and projected to a lower dimensional feature space. The reduced feature vectors are fused at feature(More)
This paper proposes an efficient retrieval technique which uses a new indexing scheme for a large palmprint database. For a given palmprint query image, the proposed indexing scheme makes use of match score vectors to determine an index and uses this index to reduce the search space of the database. Finally, the retrieval technique uses palmprint texture to(More)