Retrieval of images by spatial and object similarities
Information Processing and Management: an International Journal
A Novel Hand-Based Personal Identification Approach
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Palmprint Verification Using Circular Gabor Filter
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Palmprint authentication using a symbolic representation of images
Image and Vision Computing
Orthogonal locally discriminant projection for palmprint recognition
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Fast palmprint identification with multiple templates per subject
Pattern Recognition Letters
A Comparative Study of Palmprint Recognition Algorithms
ACM Computing Surveys (CSUR)
Palmprint verification based on 2D - Gabor wavelet and pulse-coupled neural network
Knowledge-Based Systems
A fast and robust personal identification approach using handprint
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Sliding Window Based Fast Corner Matching Palmprint Authentication
International Journal of Computer Vision and Image Processing
Selection of discriminative sub-regions for palmprint recognition
Multimedia Tools and Applications
Consistency analysis on orientation features for fast and accurate palmprint identification
Information Sciences: an International Journal
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This paper presents a new approach to palmprint retrieval for personal identification. Three key issues in image retrieval are considered: feature extraction, similarity measurement and fast search for the best match of the queried image in an image database. We propose a texture-based approach for palmprint feature representation. The concept of texture energy is introduced to define both global and local features of a palmprint, which are characterized with high convergence of inner-palm similarities and good dispersion of inter-palm discrimination. The searching is carried out in a layered fashion: the global features are first used to guide the fast selection of a small set of similar candidates from the database and then the local features are applied to determine the final output from the selected set of similar candidates. The experimental results illustrate the effectiveness of the proposed approach.