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Title: Image preprocessing algorithm for palm print based on Matlab
Authors: Zhou, Renming.
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2013
Abstract: In our modern world, an increasingly number of business activities need to use identification system computerized. E-Commerce applications such as e-banking, building access demand fast, real time and accurate personal identification. Traditional token based method such as a physical key, ID card or knowledge based method, such as a password is time-consuming and inefficient. They can be lost, stolen, or forgotten. To overcome the shortcomings of the traditional methods and meet today’s security requirements; Biometrics-based personal identification is emerging as a powerful means for recognizing a person’s identity. It plays an important role in today’s society. The purpose of biometric based palm print identification is to examine human’s palm print by achieving palm print lines from its region of interest. Although the system of biometric based palm print identification becomes well-established, the qualities of palm print images are quite low due to incomplete image pre-processing. The enhancements for these images are necessary before extracting palm print regions of interest. The existing image processing methods provided for biometric based palm print identification is watershed and noise-deduction function. Before these, some image enhancement functions need to be applied in order to have better observing to pictures. These functions include Laplacian Sharpening, averaging filter, and power law transformation etc. The purpose of these functions is to have high-contrast images with clearer edges and palm print lines. These important processing will make some improvement in the following identifications.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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