Image recognition and verification on investigation of missing children
Facial image recognition in computer vision is important area that attracts significant research interest. This baseline interest could be developed further in many areas such as security and human identification and so on. The project emphasized area, the age gap verification is mainly aimed...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2012
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/49646 |
| _version_ | 1811694987964841984 |
|---|---|
| author | Aung Phyoe |
| author2 | Tan Yap Peng |
| author_facet | Tan Yap Peng Aung Phyoe |
| author_sort | Aung Phyoe |
| collection | NTU |
| description | Facial image recognition in computer vision is important area that attracts significant research interest. This baseline interest could be developed further in many areas such as security and human identification and so on.
The project emphasized area, the age gap verification is mainly aimed for investigations of missing child. Generally, suffer from insufficient law enforcement resources, locating missing children and stopping the exploitation of children recently becomes troubling problems in today’s society. To be able to help this, the purpose of the project is to verify the feasibility of using the two different approaches for image recognition and verification.
The project emphasize on two different methods for age gap verification; Principle Component Analysis (PCA) and Histogram of Oriented Gradients Method (HOG), combined with support vector machine (SVM) classifier. And the comprising between above two based on the experimental results. This proposed technique involves with the help of MATLAB. |
| first_indexed | 2024-10-01T07:16:19Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/49646 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:16:19Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | ntu-10356/496462023-07-07T16:26:08Z Image recognition and verification on investigation of missing children Aung Phyoe Tan Yap Peng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Facial image recognition in computer vision is important area that attracts significant research interest. This baseline interest could be developed further in many areas such as security and human identification and so on. The project emphasized area, the age gap verification is mainly aimed for investigations of missing child. Generally, suffer from insufficient law enforcement resources, locating missing children and stopping the exploitation of children recently becomes troubling problems in today’s society. To be able to help this, the purpose of the project is to verify the feasibility of using the two different approaches for image recognition and verification. The project emphasize on two different methods for age gap verification; Principle Component Analysis (PCA) and Histogram of Oriented Gradients Method (HOG), combined with support vector machine (SVM) classifier. And the comprising between above two based on the experimental results. This proposed technique involves with the help of MATLAB. Bachelor of Engineering 2012-05-22T09:16:54Z 2012-05-22T09:16:54Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/49646 en Nanyang Technological University 49 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Aung Phyoe Image recognition and verification on investigation of missing children |
| title | Image recognition and verification on investigation of missing children |
| title_full | Image recognition and verification on investigation of missing children |
| title_fullStr | Image recognition and verification on investigation of missing children |
| title_full_unstemmed | Image recognition and verification on investigation of missing children |
| title_short | Image recognition and verification on investigation of missing children |
| title_sort | image recognition and verification on investigation of missing children |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing |
| url | http://hdl.handle.net/10356/49646 |
| work_keys_str_mv | AT aungphyoe imagerecognitionandverificationoninvestigationofmissingchildren |