F-I-S-Ht : FINGERPRINT IMAGE SEGMENTATION USING HIERARCHICAL TECHNIQUE: : A MASTER'S DEGREE DISSERTATION OF UNIVERSITI TEKNOLOGI MALAYSIA - Brossura
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F-I-S-Ht is a wonderful discovery on human biometric. Fingerprints are the ridge and furrow patterns on the tip of the finger and its verification is an important biometric technique for personal identification. The quality of the fingerprint image is the most significant factor in a reliable matching process. Thus, any pre- processing algorithm should aim to enhance the quality of the existing features without creating false features. This scenario brings the idea of the research. The research focus on the segmentation approach in pre-processing images. The purpose of the study is to identify a segmentation approach of fingerprint image by considering several approaches namely Hierarchical technique and Region growing by pixel aggregation technique. The process is vital when to apply next pre-processing stages i.e. thinning, identifying between true and false minutiae and minutiae extraction process. The research is supported by 50 samples of data that is collected through an available fingerprint device.
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L'autore
BORN ON 28TH MAY 1976 IN TANAH MERAH KELANTAN, MALAYSIA. A MASTER'S GRADUATE FROM UTM SKUDAI AND CURRENTLY WORKING WITH MALAYSIAN MARITIME ACADEMY (ALAM)IN BATU RAKIT UNDER MARINE ENGINEERING DEPARTMENT. MORE KEEN TO OPEN SOURCE SOFTWARE INFRASTRUCTURE WHILST HER RESEARCH AREA IS ON IMAGE PROCESSING AND WIFI TECHNOLOGY.
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F-I-S-Ht : FINGERPRINT IMAGE SEGMENTATION USING HIERARCHICAL TECHNIQUE
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LAP LAMBERT Academic Publishing Okt 2009, 2009
ISBN 10: 383832207X
ISBN 13: 9783838322070
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -F-I-S-Ht is a wonderful discovery on human biometric. Fingerprints are the ridge and furrow patterns on the tip of the finger and its verification is an important biometric technique for personal identification. The quality of the fingerprint image is the most significant factor in a reliable matching process. Thus, any pre- processing algorithm should aim to enhance the quality of the existing features without creating false features. This scenario brings the idea of the research. The research focus on the segmentation approach in pre-processing images. The purpose of the study is to identify a segmentation approach of fingerprint image by considering several approaches namely Hierarchical technique and Region growing by pixel aggregation technique. The process is vital when to apply next pre-processing stages i.e. thinning, identifying between true and false minutiae and minutiae extraction process. The research is supported by 50 samples of data that is collected through an available fingerprint device. 108 pp. Englisch. Codice articolo 9783838322070
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Condizione: New. Print on Demand pp. 108 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Codice articolo 131712435
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Condizione: New. PRINT ON DEMAND pp. 108. Codice articolo 18128875110
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F-I-S-Ht : FINGERPRINT IMAGE SEGMENTATION USING HIERARCHICAL TECHNIQUE
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. F-I-S-Ht is a wonderful discovery on human biometric. Fingerprints are the ridge and furrow patterns on the tip of the finger and its verification is an important biometric technique for personal identification. The quality of the fingerprint image is the m. Codice articolo 5412870
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F-I-S-Ht : FINGERPRINT IMAGE SEGMENTATION USING HIERARCHICAL TECHNIQUE
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LAP LAMBERT Academic Publishing Okt 2009, 2009
ISBN 10: 383832207X
ISBN 13: 9783838322070
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -F-I-S-Ht is a wonderful discovery on human biometric. Fingerprints are the ridge and furrow patterns on the tip of the finger and its verification is an important biometric technique for personal identification. The quality of the fingerprint image is the most significant factor in a reliable matching process. Thus, any pre- processing algorithm should aim to enhance the quality of the existing features without creating false features. This scenario brings the idea of the research. The research focus on the segmentation approach in pre-processing images. The purpose of the study is to identify a segmentation approach of fingerprint image by considering several approaches namely Hierarchical technique and Region growing by pixel aggregation technique. The process is vital when to apply next pre-processing stages i.e. thinning, identifying between true and false minutiae and minutiae extraction process. The research is supported by 50 samples of data that is collected through an available fingerprint device.Books on Demand GmbH, Überseering 33, 22297 Hamburg 108 pp. Englisch. Codice articolo 9783838322070
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F-I-S-Ht : FINGERPRINT IMAGE SEGMENTATION USING HIERARCHICAL TECHNIQUE : : A MASTER''S DEGREE DISSERTATION OF UNIVERSITI TEKNOLOGI MALAYSIA
Editore:
LAP LAMBERT Academic Publishing, 2009
ISBN 10: 383832207X
ISBN 13: 9783838322070
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - F-I-S-Ht is a wonderful discovery on human biometric. Fingerprints are the ridge and furrow patterns on the tip of the finger and its verification is an important biometric technique for personal identification. The quality of the fingerprint image is the most significant factor in a reliable matching process. Thus, any pre- processing algorithm should aim to enhance the quality of the existing features without creating false features. This scenario brings the idea of the research. The research focus on the segmentation approach in pre-processing images. The purpose of the study is to identify a segmentation approach of fingerprint image by considering several approaches namely Hierarchical technique and Region growing by pixel aggregation technique. The process is vital when to apply next pre-processing stages i.e. thinning, identifying between true and false minutiae and minutiae extraction process. The research is supported by 50 samples of data that is collected through an available fingerprint device. Codice articolo 9783838322070
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