Recognition of Affine Distorted Characters by Using Affine-Invariant Local Descriptors

نویسندگان

  • Takuya KOBAYASHI
  • Masakazu IWAMURA
  • Koichi KISE
چکیده

Camera-based character recognition has a possibility to realize a variety of applications and has been paid attention. However, character images are often taken from different angles and characters tend to be distorted. In such a case, recognition accuracy becomes worse. Therefore, we must find some methods to deal with this problem. In this paper, we experimentally evaluate some affine-invariant local descriptors by testing how well they can recognize affine distorted characters. As a result, affine-invariant local descriptors are robust to affine distorted characters to some extent.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Viewpoint Unconstrained Face Recognition Based on Affine Local Descriptors and Probabilistic Similarity

Face recognition under controlled settings, such as limited viewpoint and illumination change, can achieve good performance nowadays. However, real world application for face recognition is still challenging. In this paper, we propose using the combination of Affine Scale Invariant Feature Transform (SIFT) and Probabilistic Similarity for face recognition under a large viewpoint change. Affine ...

متن کامل

Affine-Invariant Local Descriptors and Neighborhood Statistics for Texture Recognition

This paper presents a framework for texture recognition based on local affine-invariant descriptors and their spatial layout. At modeling time, a generative model of local descriptors is learned from sample images using the EM algorithm. The EM framework allows the incorporation of unsegmented multi-texture images into the training set. The second modeling step consists of gathering co-occurren...

متن کامل

Performance Evaluation of Local Descriptors for Affine Invariant Region Detector

Local feature descriptors are widely used in many computer vision applications. Over the past couple of decades, several local feature descriptors have been proposed which are robust to challenging conditions. Since they show different characteristics in different environment, it is necessary to evaluate their performance in an intensive and consistent manner. However, there has been no relevan...

متن کامل

Detection of local features invariant to affine transformations Application to matching and recognition

In recent years the use of local characteristics has become one of the dominant approaches to content based object recognition. The detection of interest points is the first step in the process of matching or recognition. A local approach significantly improves and accelerates image retrieval from databases. Therefore a reliable algorithm for feature detection is crucial for many applications. ...

متن کامل

Affine Subspace Representation for Feature Description

This paper proposes a novel Affine Subspace Representation (ASR) descriptor to deal with affine distortions induced by viewpoint changes. Unlike the traditional local descriptors such as SIFT, ASR inherently encodes local information of multi-view patches, making it robust to affine distortions while maintaining a high discriminative ability. To this end, PCA is used to represent affinewarped p...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010