منابع مشابه
Currency Recognition using SIFT
Currency recognition is an important area of pattern recognition. A system for the recognition of currency is one kind of intelligent system which is a very important need of the current automation systems in the modern world of today. Currency Recognition and is implemented to reduce human power to automatically recognize the amount monetary value of currency and without human supervision. The...
متن کاملFace Recognition Using SIFT
From 1970, research on automated face recognition has been on the rise. Since then many techniques and algorithms have been designed each one trying to provide better efficiency than the earlier one. This field of biometric analysis has found its use in many practical applications and with rising technologies each day, its exhaustive use in future is also expected. In this paper we have studied...
متن کاملFace Recognition using SIFT Features
Face recognition has many important practical applications, like surveillance and access control. It is concerned with the problem of correctly identifying face images and assigning them to persons in a database. This paper proposes using SIFT features [4] for the recognition process. The new technique is compared with well-established face recognition algorithms, namely Eigenfaces [7] and Fish...
متن کاملReal Time Hand Gesture Recognition Using Sift
The objective of the gesture recognition is to identify and distinguish the human gestures and utilizes these identified gestures for applications in specific domain. In this paper we propose a new approach to build a real time system to identify the standard gesture given by American Sign Language, or ASL, the dominant sign language of Deaf Americans, including deaf communities in the United S...
متن کاملFacial Expression Recognition Using a Hybrid CNN-SIFT Aggregator
Recognizing facial expression has remained a challenging task in computer vision. Deriving an effective facial expression recognition is an important step for successful human-computer interaction systems. This paper describes a novel approach towards facial expression recognition task. It is motivated by the success of Convolutional Neural Networks (CNN) on face recognition problems. Unlike ot...
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ژورنال
عنوان ژورنال: The Journal of the Korea Contents Association
سال: 2010
ISSN: 1598-4877
DOI: 10.5392/jkca.2010.10.11.048