خط مشی دسترسیدرباره ما
ثبت نامثبت نام
راهنماراهنما
فارسی
ورودورود
صفحه اصلیصفحه اصلی
جستجوی مدارک
تمام متن
منابع دیجیتالی
رکورد قبلیرکورد بعدی
Document Type : Latin Dissertation
Language of Document : English
Record Number : 148676
Doc. No : ET20468
Main Entry : MUDASSIR MASOOD
Title Proper : MULTI-SCALE ANALYSIS TECHNIQUES IN PATTERN RECOGNITION SYSTEMS
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : w etheGood face detection, is an importmt part of a reliahle face recogn,ition, system,.propose methods of face detection, and n,orm,alization,. Normalization, req~l,iresexact location, of eyes t o stmighten, any rotated face image. Eyes detection, m,eth-ods are also developed for this purpose. To im,prove the accuracy of the classicalPCA techn,iqu,e for face recogn,ition,, we delieloped a system hased on, the method ofleast-squares which takes in,to accomt the class in,formation,. W e further improveaccuracy hy vsin,g m~~,ltiple scales of the sam,e face image. Such scales are ohtain,edusing the discrete wavelet tran,sform. W e shouc that there exists a particdar set ofsuhhand images that are essen,tial for roh& face recogn,ition,. W e propose here am,odel t o find these svhhan,ds for in,put im,ages. Based on, this, we develop a mul-tiscale face recogn,ition system which ~l,tilizes the m,odel t o find importan,t subhan,ds.These svhhan,ds are then, used for im,provin,g recogn,ition accwacy..
Subject : Electericl tess
: برق
electronic file name : TL43603.pdf
Title and statement of responsibility and : MULTI-SCALE ANALYSIS TECHNIQUES IN PATTERN RECOGNITION SYSTEMS [Thesis]
 
 
 
(در صورت عدم وضوح تصویر اینجا را کلیک نمایید)