Image processing device that reads an image of an original when emitting light to the original

Abstract

An image processing apparatus configured to perform: reading an image of an original when a light-emitting portion emits light with a first light color, thereby acquiring first image data representing the image; The data is stored in the memory; an identification process is performed for identifying an ID photo in an image represented by the first image data; in response to determining that the ID photo is recognized, outputting an image represented by the first image data; in response to determining that the ID photo is not recognized Recognizing the ID photo, switching the light color of the light emitting part from the first light color to a second light color different from the first light color; and, when the light emitting part emits light with the second light color, reading an image of the original, thereby obtaining second image data representing the image.

Description

technical field [0001] The present invention relates to an image processing device. Background technique [0002] An image forming apparatus having a function of outputting images of the front side and the back side of a driver's license onto a sheet is known. When such an image forming apparatus is used to copy a driver's license, images of both sides of the driver's license are read by an image scanner, and recorded (or printed) on a recording medium. [0003] The front side of the driver's license as described above has an area where a photo of the driver's face is placed (hereinafter simply referred to as a face photo area). Not only a driver's license but also various cards such as various identification (ID) cards and business cards have an ID photo area such as a facial photo area. When the images of these cards are read by an image scanner as described above, it can be difficult to distinguish facial features from the output image due to the tone, shade level, or d...

AI Technical Summary

Problems solved by technology

However, this adjustment is performed on the output image and thus is not a technique for optimizing the input image fed by the image scanner

Therefore, in the case where facial features are already difficult to distinguish from the input image when the input image is input by the image scanner, it is difficult to restore underexposed parts and overexposed parts even if the brightness, shadow level, and density of the output image are adjusted

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