An object recognition system comprising: an image data storage unit configured to store a captured image; a feature extraction unit to extract an image having a predetermined rotational component among rotational components of the image stored in the image data storage unit and to extract feature vectors based on the extracted image, comprising: a 0-degree feature point extractor configured to extract an image having a 0-degree rotational component among the rotational components of the image and to extract feature points based on the extracted image; a 45-degree feature point extractor configured to extract an image having a 45-degree rotational component among the rotational components of the image and to extract feature points based on the extracted image; a database unit configured to store object information; a recognition unit configured to determine whether an object corresponding to the captured image is present in the database unit through comparison between the feature vectors extracted by the feature extraction unit and the object information stored in the database unit and to recognize information on the object stored in the database unit based on the determination as to whether the object corresponding to the captured image is present in the database unit; and a system administration unit configured to receive the information on the object recognized by the recognition unit, wherein the 45-degree feature point extractor is based on a Haar wavelet function filter and extracts the feature points by iteratively: extracting an integral image having a rotational component of 45 degrees using a filter having a rotational component of 45 degrees and having a calculated filter size; calculating a Hessian matrix consisting of secondary differential values from the extracted integral image; and calculating determinant values of the calculated Hessian matrix to obtain feature points of a rotational component of 45 degrees and feature points of a rotational component of 135 degrees. an image data storage unit configured to store a captured image; a feature extraction unit to extract an image having a predetermined rotational component among rotational components of the image stored in the image data storage unit and to extract feature vectors based on the extracted image, comprising: a 0-degree feature point extractor configured to extract an image having a 0-degree rotational component among the rotational components of the image and to extract feature points based on the extracted image; a 45-degree feature point extractor configured to extract an image having a 45-degree rotational component among the rotational components of the image and to extract feature points based on the extracted image; a 0-degree feature point extractor configured to extract an image having a 0-degree rotational component among the rotational components of the image and to extract feature points based on the extracted image; a 45-degree feature point extractor configured to extract an image having a 45-degree rotational component among the rotational components of the image and to extract feature points based on the extracted image; a database unit configured to store object information; a recognition unit configured to determine whether an object corresponding to the captured image is present in the database unit through comparison between the feature vectors extracted by the feature extraction unit and the object information stored in the database unit and to recognize information on the object stored in the database unit based on the determination as to whether the object corresponding to the captured image is present in the database unit; and a system administration unit configured to receive the information on the object recognized by the recognition unit, wherein the 45-degree feature point extractor is based on a Haar wavelet function filter and extracts the feature points by iteratively: extracting an integral image having a rotational component of 45 degrees using a filter having a rotational component of 45 degrees and having a calculated filter size; calculating a Hessian matrix consisting of secondary differential values from the extracted integral image; and calculating determinant values of the calculated Hessian matrix to obtain feature points of a rotational component of 45 degrees and feature points of a rotational component of 135 degrees. extracting an integral image having a rotational component of 45 degrees using a filter having a rotational component of 45 degrees and having a calculated filter size; calculating a Hessian matrix consisting of secondary differential values from the extracted integral image; and calculating determinant values of the calculated Hessian matrix to obtain feature points of a rotational component of 45 degrees and feature points of a rotational component of 135 degrees.