{"product_id":"f-i-s-ht-fingerprint-image-segmentation-using-hierarchical-technique-von-wan-aezwani-wan-abu-bakar-ghazali-b-sulong-und-mustafa-bin-man","title":"F-I-S-Ht : FINGERPRINT IMAGE SEGMENTATION USING HIERARCHICAL TECHNIQUE","description":"\u003cp\u003eF-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.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783838322070\"\u003e\u003ch3\u003e: A MASTER''S DEGREE DISSERTATION OF UNIVERSITI TEKNOLOGI MALAYSIA\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783838322070","offer_id":39498951622749,"sku":"9783838322070","price":49.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/f3e577b8-ba4e-424b-aa94-c9fa82dfce13.jpg?v=1773383056","url":"https:\/\/shop.autorenwelt.de\/en\/products\/f-i-s-ht-fingerprint-image-segmentation-using-hierarchical-technique-von-wan-aezwani-wan-abu-bakar-ghazali-b-sulong-und-mustafa-bin-man","provider":"Autorenwelt Shop","version":"1.0","type":"link"}