Notice of Pre-AIA or AIA Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
DETAILED ACTION
Claim Rejections - 35 USC § 102
The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action:
A person shall be entitled to a patent unless –
(a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention.
Claim 1-7 and 9-10 are rejected under 35 U.S.C. 102(a)(2) as being anticipated by Chen et al. (US 2018/0039845).
With respect to claim 1, Chen et al. teach obtaining a first image of a region of interest of a subject in a first wavelength band (Fig. 6, 6A image with RGB band filter);
obtaining a second image of the region of interest of the subject in a second wavelength band (Fig. 6, 6A image with IR band filter);
encoding the first image by means of a first neural encoder, to obtain a first vector representation of the first image (para [0037] It is noted that the same face detector can be used to process the RGB data as well as the thermal data para [0026], Adaboost classifier can be replaced with another method to perform face detection, such as a Convolution Neuron Network ( CNN ) method);
encoding the second image by means of a second neural encoder, to obtain a second vector representation of the second image (para [0037] It is noted that the same face detector can be used to process the RGB data as well as the thermal data para [0026], Adaboost classifier can be replaced with another method to perform face detection, such as a Convolution Neuron Network ( CNN ) method);
computing a measure of similarity between the first vector representation and the second vector representation (Fig. 6, 6E, Distance of Detection result; para [0028]-[0031], distance); and
determining a fraud if the similarity measure is below a predefined threshold ((Fig. 6, 6E, Distance of Detection result within a range >> NO)..
With respect to claim 2, Chen et al. teach that the first image and the second image are captured at the same time (para [0022], a single broadband IR / RGB image sensor that outputs IR / RGB image data).
With respect to claim 3, Chen et al. teach that the first image and the second image are captured by the same camera using the same sensor (para [0022], a single broadband IR / RGB image sensor that outputs IR / RGB image data).
With respect to claim 4, Chen et al. teach that the similarity measure is a normalized scalar product. (para [0028]-[0031], distance, Normalization by square of the absolute value is a technique used to scale data so that its total “energy” or “intensity” adds up to a specific value, usually one. In signal processing, this ensures that signal with different amplitudes can be compared or analyzed on a consistent basis).
With respect to claim 5, Chen et al. teach that the first neural encoder and the second neural encoder are trained conjointly (para [0037], the Ada
boost procedure can be determined by a training phase with both RGB and thermal images).
With respect to claim 6, Chen et al. teach that the first neural encoder and the second neural encoder are trained so as to maximize the similarity of the first and second vector representations for authentic images and to minimize the similarity of the first and second vector representations for fraudulent images or images not originating from the same acquisition (para [0031]).
With respect to claim 7, Chen et al. teach that the first wavelength band is in the visible spectrum, in particular between 380 and 780 nm and the second wavelength band is in the infrared spectrum, in particular between 800 nm and 960 nm (para [0014]).
Claim 9 is rejected as same reason as claim 1 above.
Claim 10 is rejected as same reason as claim 1 above.
Conclusion
Any inquiry concerning this communication or earlier communications from the examiner should be directed to Randolph Chu whose telephone number is 571-270-1145. The examiner can normally be reached on Monday to Thursday from 7:30 am - 5 pm.
If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Matthew Bella can be reached on (571) 272-7778.
The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300.
Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see http://pair-direct.uspto.gov. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free).
/RANDOLPH I CHU/
Primary Examiner, Art Unit 2667
Prosecution Insights