Human Age Estimation from Facial Images Using Artificial...

Introduction Face Images convey a significant amount of knowledge including information about identity, emotional state, ethnic origin, gender, age, and head orientation of a person shown in face image. This type of information plays a significant role during face-to-face communication between humans [1]. Above prospects of facial images can be used in emerging branch of Human Computer Interaction (HCI). Human age has following characteristics: Aging is uncontrollable process: Aging cannot be delayed or advanced at will. It is slow and irreversible process. Personal Age Patterns: The aging factor of a person is defined by his genetic structure as well as external factors like health, lifestyle, weather conditions, ethnicity, etc. Aging†¦show more content†¦Photo indexing: Automatic indexing of photos is possible based on the age of a person. Missing individuals: reliable prediction of one’s appearance across ages has direct relevance in finding missing individuals. Age based acces s control: developing systems which provide age specific access to an individual at sites like security offices, military areas, social networking, etc. Other common places: Age estimation system can be helpful at various locations like hospitals, police stations, banks, government offices, educational institutes, sport events, etc. Related Work Various image processing researches related to face have been of keen interest since a long time. From past decade, though the study related with respect to aging pattern and age estimation has become important, it is still very challenging. Mostly age estimation is done using shape patterns of face or using facial texture information such as wrinkles. Existing methods for facial age estimation typically consists of 2 main steps: image representation and age prediction [3]. The general models used for representing images are Active Shape Model (ASM) [4], Active Appearance Model (AAM) [5], Craniofacial Growth Model [6], Aging Pattern Subspace [2], Manifold Learning [7] whereas for age estimationmulticlass classification problem or regressing problem. The ASM model was proposed by Cootes et al [8]. This was used for feature extraction by characterizingShow MoreRelatedOutline And Outline Of A Letter9612 Words   |  39 PagesCONTENTS CHAPTER TOPIC PAGE NO. Candidate’s Declaration I Acknowledgements ii Contents 1 Abstract 4 List of Figures 5 List of abbreviations 6 1. INTRODUCTION 1.1. Overview 1.2. Background 1.2.1 The human hand 1.2.1.1 Palm 1.2.1.2 Fingers Bones 1.2.1.3 Wrist and Hand 1.2.1.4 Muscles 1.2.2 Structure of hand 1.2.3 Movements 1.2.4 GraspsRead MoreBIOMETRICS IMPLEMENTATION IN COMPUTER SECURITY There must be some solid personal3000 Words   |  12 Pagesplaces etc. In absence of these schemes these systems are vulnerable to misuse. 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These higher-level policies, which are the more general policies and statementsRead More_x000C_Introduction to Statistics and Data Analysis355457 Words   |  1422 PagesPermissions Editor: Isabel Alves Production Service: Newgen–Austin Text Designer: Stuart Paterson Photo Researcher: Gretchen Miller Copy Editor: Nancy Dickson Illustrator: Jade Myers; Newgen–India Cover Designer: Stuart Paterson Cover Image: Paul Chesley/Getty Images Cover Printer: Courier Corporation/Kendallvi lle Compositor: Newgen–India Printer: Courier Corporation/Kendallville  © 2008, 2005 Duxbury, an imprint of Thomson Brooks/Cole, a part of The Thomson Corporation. Thomson, the Star logo,Read MoreStephen P. Robbins Timothy A. Judge (2011) Organizational Behaviour 15th Edition New Jersey: Prentice Hall393164 Words   |  1573 Pages10.5/12 ITC New Baskerville Std Credits and acknowledgments borrowed from other sources and reproduced, with permission, in this textbook appear on the appropriate page within text. 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