Fingerprint recognition through thinning transformation algorithm /
Nowadays most of the fingerprint recognition system operates mainly ontemplate matching basis which requires a lot of memory for data storageand also consumes a lot of time to process the data. It is necessary tobuild a new system which utilizes different techniques in processing thefingerprint that...
| Հիմնական հեղինակ: | |
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| Ձևաչափ: | |
| Հրապարակվել է: |
Kuala Lumpur : UTM,
1994
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| Խորագրեր: |
| _version_ | 1826404765333979136 |
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| author | 265212 Azahar Ismail |
| author_facet | 265212 Azahar Ismail |
| author_sort | 265212 Azahar Ismail |
| collection | OCEAN |
| description | Nowadays most of the fingerprint recognition system operates mainly ontemplate matching basis which requires a lot of memory for data storageand also consumes a lot of time to process the data. It is necessary tobuild a new system which utilizes different techniques in processing thefingerprint that can overcome this problem. This system is called thinning-transformation algorithm.The objective of this project is to develop a system that can extract themain features of the fingerprint pattern and thus identify and classifythe fingerpeint pattern according to the extracted features.In order to gain such objective several techniques are studied in orderto find the most appropriate techniques that be used. The techniques thatare chosen are edge detection, pattern segmentation, interpolation andskeletonization.This project report discusses the techniques that are used and alsothe output obtained after implementing the techniques. Since this projectis new in it's concept, synthetic fingerprint data are used. This is onlyto simplify the calculations. However form the result obtained, the systemcan be further used for real fingerpeint images.During the course of this project all the techniques applied to the inputdata are done manually. This is because the programming part cannot be done in time. |
| first_indexed | 2024-03-05T00:37:35Z |
| format | |
| id | KOHA-OAI-TEST:242692 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| last_indexed | 2024-03-05T00:37:35Z |
| publishDate | 1994 |
| publisher | Kuala Lumpur : UTM, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:2426922020-12-19T17:07:29ZFingerprint recognition through thinning transformation algorithm / 265212 Azahar Ismail Kuala Lumpur : UTM,1994Nowadays most of the fingerprint recognition system operates mainly ontemplate matching basis which requires a lot of memory for data storageand also consumes a lot of time to process the data. It is necessary tobuild a new system which utilizes different techniques in processing thefingerprint that can overcome this problem. This system is called thinning-transformation algorithm.The objective of this project is to develop a system that can extract themain features of the fingerprint pattern and thus identify and classifythe fingerpeint pattern according to the extracted features.In order to gain such objective several techniques are studied in orderto find the most appropriate techniques that be used. The techniques thatare chosen are edge detection, pattern segmentation, interpolation andskeletonization.This project report discusses the techniques that are used and alsothe output obtained after implementing the techniques. Since this projectis new in it's concept, synthetic fingerprint data are used. This is onlyto simplify the calculations. However form the result obtained, the systemcan be further used for real fingerpeint images.During the course of this project all the techniques applied to the inputdata are done manually. This is because the programming part cannot be done in time.Project paper (Bachelor of Electrical Engineering) - Universiti Teknologi Malaysia, 1994Nowadays most of the fingerprint recognition system operates mainly ontemplate matching basis which requires a lot of memory for data storageand also consumes a lot of time to process the data. It is necessary tobuild a new system which utilizes different techniques in processing thefingerprint that can overcome this problem. This system is called thinning-transformation algorithm.The objective of this project is to develop a system that can extract themain features of the fingerprint pattern and thus identify and classifythe fingerpeint pattern according to the extracted features.In order to gain such objective several techniques are studied in orderto find the most appropriate techniques that be used. The techniques thatare chosen are edge detection, pattern segmentation, interpolation andskeletonization.This project report discusses the techniques that are used and alsothe output obtained after implementing the techniques. Since this projectis new in it's concept, synthetic fingerprint data are used. This is onlyto simplify the calculations. However form the result obtained, the systemcan be further used for real fingerpeint images.During the course of this project all the techniques applied to the inputdata are done manually. This is because the programming part cannot be done in time.16PRZSLPattern recognition systemsImage processingFingerprints |
| spellingShingle | Pattern recognition systems Image processing Fingerprints 265212 Azahar Ismail Fingerprint recognition through thinning transformation algorithm / |
| title | Fingerprint recognition through thinning transformation algorithm / |
| title_full | Fingerprint recognition through thinning transformation algorithm / |
| title_fullStr | Fingerprint recognition through thinning transformation algorithm / |
| title_full_unstemmed | Fingerprint recognition through thinning transformation algorithm / |
| title_short | Fingerprint recognition through thinning transformation algorithm / |
| title_sort | fingerprint recognition through thinning transformation algorithm |
| topic | Pattern recognition systems Image processing Fingerprints |
| work_keys_str_mv | AT 265212azaharismail fingerprintrecognitionthroughthinningtransformationalgorithm |