What can the structure of the palmprint tell us?
In the current era of the technological revolution, more and more advanced technology is evolving each day. We can no longer afford to rely on the traditional forms of identification and authentication (passwords, keys and cards) and, therefore, we require some form of reliable and secure mechanisms...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2014
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| Online Access: | http://hdl.handle.net/10356/59889 |
| _version_ | 1811691711275991040 |
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| author | Samreen Chawla |
| author2 | Li Fang |
| author_facet | Li Fang Samreen Chawla |
| author_sort | Samreen Chawla |
| collection | NTU |
| description | In the current era of the technological revolution, more and more advanced technology is evolving each day. We can no longer afford to rely on the traditional forms of identification and authentication (passwords, keys and cards) and, therefore, we require some form of reliable and secure mechanisms such as biometric identifiers. That is where the existing Biometric Identification system (BIS) comes in. It relies on a user's biometric features (finger and palm prints) for identification and recognition.
The existing Biometric Identification system utilizes the Fourier transform to perform the computational intensive tasks of palm print matching. The central philosophy behind Fourier Transforms is that almost every signal can be broken down into a combination of simple waves. Currently, the fastest algorithm in practice that does the same computation is the Fast Fourier Transform (FFT). However, recently, researchers formulated a much more efficient replacement for the fast Fourier transform. This new algorithm also known as the sparse fast Fourier transform (SFFT), is capable of processing data 10 to 100 times faster than the original fast Fourier transform. Replacing the current Fourier module in the BIS can help in improving the computational complexity of the overall system.
One of the most important and upcoming application of Palmistry is its prevalence in the medical domain especially identification of genetic disorders. Unique characteristics (dermatoglyphics) serve as markers of prenatal disturbance in developmental disorders of unknown origin for instance Down Syndrome.
Lastly, in order to reach out to a wider audience, a web platform is necessary for all types of users to access the system. A neat, intuitive and elegant website development process is discussed to support a general identification system. |
| first_indexed | 2024-10-01T06:24:14Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/59889 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:24:14Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/598892023-03-03T20:39:37Z What can the structure of the palmprint tell us? Samreen Chawla Li Fang School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision DRNTU::Engineering::Computer science and engineering In the current era of the technological revolution, more and more advanced technology is evolving each day. We can no longer afford to rely on the traditional forms of identification and authentication (passwords, keys and cards) and, therefore, we require some form of reliable and secure mechanisms such as biometric identifiers. That is where the existing Biometric Identification system (BIS) comes in. It relies on a user's biometric features (finger and palm prints) for identification and recognition. The existing Biometric Identification system utilizes the Fourier transform to perform the computational intensive tasks of palm print matching. The central philosophy behind Fourier Transforms is that almost every signal can be broken down into a combination of simple waves. Currently, the fastest algorithm in practice that does the same computation is the Fast Fourier Transform (FFT). However, recently, researchers formulated a much more efficient replacement for the fast Fourier transform. This new algorithm also known as the sparse fast Fourier transform (SFFT), is capable of processing data 10 to 100 times faster than the original fast Fourier transform. Replacing the current Fourier module in the BIS can help in improving the computational complexity of the overall system. One of the most important and upcoming application of Palmistry is its prevalence in the medical domain especially identification of genetic disorders. Unique characteristics (dermatoglyphics) serve as markers of prenatal disturbance in developmental disorders of unknown origin for instance Down Syndrome. Lastly, in order to reach out to a wider audience, a web platform is necessary for all types of users to access the system. A neat, intuitive and elegant website development process is discussed to support a general identification system. Bachelor of Engineering (Computer Science) 2014-05-19T03:20:09Z 2014-05-19T03:20:09Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/59889 en Nanyang Technological University 81 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision DRNTU::Engineering::Computer science and engineering Samreen Chawla What can the structure of the palmprint tell us? |
| title | What can the structure of the palmprint tell us? |
| title_full | What can the structure of the palmprint tell us? |
| title_fullStr | What can the structure of the palmprint tell us? |
| title_full_unstemmed | What can the structure of the palmprint tell us? |
| title_short | What can the structure of the palmprint tell us? |
| title_sort | what can the structure of the palmprint tell us |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision DRNTU::Engineering::Computer science and engineering |
| url | http://hdl.handle.net/10356/59889 |
| work_keys_str_mv | AT samreenchawla whatcanthestructureofthepalmprinttellus |