An Efficient Segmentation of IRIS Dataset Using Daugman and Wildes Image Segmentation Algorithms

By:

Material type: Text

TextLanguage: English Publication details: Coimbatore PSG College of Arts and Science 2021DDC classification:

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Call number	Status	Barcode
M.Phil 1	PSG-CAS LIBRARY	B:(D68) .R21005 (Browse shelf(Opens below))	Available	99020315

Previous	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	Next
Previous	B:(D68) .R21001 A Study on Social Media Data Analysis with Specific References to Twitter	B:(D68) .R21002 A Churn Prediction Model by Decision Boosting Prediction Approach For Telecom Sector	B;(D68) .R21004 Detection and Prediction System for Polycystic Ovary Syndrome Using Structural Normalizes Square Similarity Detection Approach	B:(D68) .R21005 An Efficient Segmentation of IRIS Dataset Using Daugman and Wildes Image Segmentation Algorithms	B:(D68) .R21006 Identification of Disease in Leaves Using Genetic Algorithm	B:(D68) D1 Acoustic Sensor Network Coverage for Elephant Vocalization Direction of Arrival Estimation Using ...	B:(D68) D2 Design and Implementation of Adaptive Neuro Fuzzy Inference System to Predict and Control the Sugar ...	Next

There are no comments on this title.

to post a comment.

Contact Us: