Capacitive fingerprint sensor chip for automatic matching
This paper examines the implementation of high-resolution fingerprint sensor chip. The chip is composed of 256×256 sensing cells. Using this integrated sensor, the fingerprint is captured by pressing the finger skin onto the chip surface. Capacitive sensors that detect the electric field variation i...
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| Format: | Conference or Workshop Item |
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2000
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| author | Lim, T.W. Moghavvemi, M. |
| author_facet | Lim, T.W. Moghavvemi, M. |
| author_sort | Lim, T.W. |
| collection | UM |
| description | This paper examines the implementation of high-resolution fingerprint sensor chip. The chip is composed of 256×256 sensing cells. Using this integrated sensor, the fingerprint is captured by pressing the finger skin onto the chip surface. Capacitive sensors that detect the electric field variation induced by the skin surface sample the fingerprint pattern. Automatic Finger Print Identification System (AFIS) compares fingerprint based on their differences and similarities of ridge ending and bifurcation. The efficiency is reduced if the database is too large. Partitioning of finger print on the basis of classification of print into basic patterns known as loop, arch, whirl, and scar is adopted. Once the class of each incoming print has been determined, the set of possible matching print in the data base can be restricted thereby reducing the number of comparisons that must be performed. |
| first_indexed | 2024-03-06T05:24:42Z |
| format | Conference or Workshop Item |
| id | um.eprints-9770 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:24:42Z |
| publishDate | 2000 |
| record_format | dspace |
| spelling | um.eprints-97702017-11-23T01:55:55Z http://eprints.um.edu.my/9770/ Capacitive fingerprint sensor chip for automatic matching Lim, T.W. Moghavvemi, M. TA Engineering (General). Civil engineering (General) This paper examines the implementation of high-resolution fingerprint sensor chip. The chip is composed of 256×256 sensing cells. Using this integrated sensor, the fingerprint is captured by pressing the finger skin onto the chip surface. Capacitive sensors that detect the electric field variation induced by the skin surface sample the fingerprint pattern. Automatic Finger Print Identification System (AFIS) compares fingerprint based on their differences and similarities of ridge ending and bifurcation. The efficiency is reduced if the database is too large. Partitioning of finger print on the basis of classification of print into basic patterns known as loop, arch, whirl, and scar is adopted. Once the class of each incoming print has been determined, the set of possible matching print in the data base can be restricted thereby reducing the number of comparisons that must be performed. 2000-09 Conference or Workshop Item PeerReviewed Lim, T.W. and Moghavvemi, M. (2000) Capacitive fingerprint sensor chip for automatic matching. In: IEEE Region 10 Annual International Conference, Proceedings/TENCON, 24 - 27 September 2000, Kuala Lumpur, Malaysia. |
| spellingShingle | TA Engineering (General). Civil engineering (General) Lim, T.W. Moghavvemi, M. Capacitive fingerprint sensor chip for automatic matching |
| title | Capacitive fingerprint sensor chip for automatic matching |
| title_full | Capacitive fingerprint sensor chip for automatic matching |
| title_fullStr | Capacitive fingerprint sensor chip for automatic matching |
| title_full_unstemmed | Capacitive fingerprint sensor chip for automatic matching |
| title_short | Capacitive fingerprint sensor chip for automatic matching |
| title_sort | capacitive fingerprint sensor chip for automatic matching |
| topic | TA Engineering (General). Civil engineering (General) |
| work_keys_str_mv | AT limtw capacitivefingerprintsensorchipforautomaticmatching AT moghavvemim capacitivefingerprintsensorchipforautomaticmatching |