Abstract: A printing device includes a panel unit including: a display panel; a capacitive touch sensor in which a position detection sensor and a cover glass are laminated and which includes a first side and a second side facing each other; a panel circuit board; a flexible wiring board, a display circuit board including a display section, a switch circuit board including a switch, and a panel housing, the capacitive touch sensor in the second attachment state is disposed so that the first side is lower than the second side, the flexible wiring board is curved between the display circuit board and the switch circuit board to couple the capacitive touch sensor and the panel circuit board to each other, and the display circuit board is coupled to the main circuit board via the panel circuit board.

Abstract: Provided is an image processing device that removes noise caused by disturbance during image capture from a captured image by image processing, the image processing device includes an image input unit to which a plurality of temporally continuous captured images are input, an image feature extraction unit that extracts features related to the disturbance in the captured images, and an image sharpening unit that performs image processing based on the features related to the disturbance to thereby remove noise in the captured images. Further, the image processing device may further include mode switching means for switching between a monitoring mode for performing image processing based on the features related to the disturbance and a normal mode for preventing the image processing based on the features related to the disturbance from being performed.

Abstract: A facial authentication device (100) includes an image corrector (107) that estimates an orientation of a face based on a center position of the face and a position of imaging unit (101) to correct an image distortion including optical axis deviation with respect to visible light image data such that the orientation of the face coincides with an optical axis direction of imaging unit (101), and a feature amount calculator (105) that extracts a face portion from the image data captured by the imaging unit (101) and calculates a feature amount of the face to output to the image corrector (107), and calculates the feature amount of the face from the image data corrected by the image corrector (107) to output to a face collator (109).

Abstract: Provided is an image processing device that removes noise caused by disturbance during image capture from a captured image by image processing, the image processing device includes an image input unit to which a plurality of temporally continuous captured images are input, an image feature extraction unit that extracts features related to the disturbance in the captured images, and an image sharpening unit that performs image processing based on the features related to the disturbance to thereby remove noise in the captured images. Further, the image processing device may further include mode switching means for switching between a monitoring mode for performing image processing based on the features related to the disturbance and a normal mode for preventing the image processing based on the features related to the disturbance from being performed.

Abstract: To increase the processing speed when median processing in the time direction is performed on color images, pixel values of each channel (R, G and B values) are extracted from multiple temporally consecutive frame images; subsequently, identifiers (index numbers) corresponding to frame images from which the pixel values are extracted are assigned to the pixel values; subsequently, a sorting process is performed on a set of pixel values of one channel (G values) to obtain an identifier assigned to a median value thereof; subsequently, a pixel value to which an identifier identical with that assigned to the median value is assigned is selected as a median value of each channel; and subsequently, a median image is generated on the basis of the median value of each channel obtained for each pixel.

Abstract: To increase the processing speed when median processing in the time direction is performed on color images, pixel values of each channel (R, G and B values) are extracted from multiple temporally consecutive frame images; subsequently, identifiers (index numbers) corresponding to frame images from which the pixel values are extracted are assigned to the pixel values; subsequently, a sorting process is performed on a set of pixel values of one channel (G values) to obtain an identifier assigned to a median value thereof; subsequently, a pixel value to which an identifier identical with that assigned to the median value is assigned is selected as a median value of each channel; and subsequently, a median image is generated on the basis of the median value of each channel obtained for each pixel.

Abstract: An image processing apparatus 100 selects one of multiple low-resolution images as a reference image candidate and determines transformation matrices for aligning the other aligning low-resolution images; conducts coordinate-transforming the other low-resolution images with the transformation matrices and plotting the reference image candidate and the coordinate-transformed low-resolution images on to a mapping image to generate a reconfigured image for reference image selection; gives a higher evaluation value to the reference image candidate as the number of pixels of the reference image candidate and the other low-resolution images plotted on the mapping image is larger. This image processing apparatus can select a reference image appropriate for generating a high-quality, high-resolution image from among multiple low-resolution images.

Abstract: A surveillance recorder (10) comprises: a picture input unit (12) for inputting a surveillance picture; a moving object detection unit (18) for detecting a moving object from a surveillance picture inputted by the picture input unit (12); a face image detection unit (20) for detecting, from an object detected by the moving object detection unit (18), a part having an elliptical outline as a face image; an identity judgment unit (22) for judging whether a face image newly detected by the face image detection unit (20) is of a same person as a face image detected last time or not based on positions of each face image; a storage image choice unit (24) for, when a newly detected face image has been judged to be of a same person by the identity judgment unit (22), choosing one face image from a face image of the same person stored in a recording medium (16) and the newly detected face image; and an image storage unit (26) for, when a newly detected face image has been chosen by the storage image choice unit (24),

Abstract: A surveillance recorder (10) comprises: a picture input unit (12) for inputting a surveillance picture; a moving object detection unit (18) for detecting a moving object from a surveillance picture inputted by the picture input unit (12); a face image detection unit (20) for detecting, from an object detected by the moving object detection unit (18), a part having an elliptical outline as a face image; an identity judgment unit (22) for judging whether a face image newly detected by the face image detection unit (20) is of a same person as a face image detected last time or not based on positions of each face image; a storage image choice unit (24) for, when a newly detected face image has been judged to be of a same person by the identity judgment unit (22), choosing one face image from a face image of the same person stored in a recording medium (16) and the newly detected face image; and an image storage unit (26) for, when a newly detected face image has been chosen by the storage image choice unit (24),

Abstract: An image correction apparatus includes: an image input part to which an image including plural character element rows are input; a row detection part for detecting a predetermined character element row from the plural character element rows; a correction amount calculating part for performing calculation of a position correction amount in a column direction with respect to each pixel column on the predetermined character element row; and a position correction part for correcting a position of each pixel column of the image so as to move it in the column direction based on the position correction amount calculated with respect to each pixel column in a predetermined direction.

Abstract: A fingerprint ID device includes input means for receiving a fingerprint image, center detecting means for detecting a center point of a fingerprint from the fingerprint image, area extracting means for extracting a given area, which surrounds the center point, as a center image of the fingerprint, and checking means for checking the center image against fingerprint images registered in advance. This structure allows checking a fingerprint by using the center image which includes a large number of characteristics. Thus even if the finger deviates from a right position, the fingerprint can be identified with accuracy, and at the same time, a memory capacity of the device can be substantially reduced.

Abstract: An optical character reader is provided for detecting frame lines of a character entry frame printed on a medium in which a character is written. The optical character reader includes a scanner, a frame width determining circuit, and a frame line equation defining circuit. The scanner scans the medium to produce a bit-mapped image of the medium including a character entry frame image represented with black pixels. The frame width determining circuit determines a width of the frame lines of the character entry frame based on a histogram of the number of black pixels continuously arranged over one of the frame lines in a direction perpendicular to the length of the frame lines. The frame line equation defining circuit defines line equations representing side boundaries of each of the frame lines according to a least squares method using set of pixels arranged on sides of each of the frame lines over the width of the frame lines to determine locations of the frame lines on the bit-mapped images.

Abstract: A surveillance recorder (10) comprises: a picture input unit (12) for inputting a surveillance picture; a moving object detection unit (18) for detecting a moving object from a surveillance picture inputted by the picture input unit (12); a face image detection unit (20) for detecting, from an object detected by the moving object detection unit (18), a part having an elliptical outline as a face image; an identity judgment unit (22) for judging whether a face image newly detected by the face image detection unit (20) is of a same person as a face image detected last time or not based on positions of each face image; a storage image choice unit (24) for, when a newly detected face image has been judged to be of a same person by the identity judgment unit (22), choosing one face image from a face image of the same person stored in a recording medium (16) and the newly detected face image; and an image storage unit (26) for, when a newly detected face image has been chosen by the storage image choice unit (24),