Abstract: The present subject matter is related in general to image processing that discloses a method for detecting nationality and layout of an input image. A nationality detection system retrieves predefined Financial Document (FD) images based on extracted features of an input image from a database and performs template matching of each predefined FD image with the input image to compute a first layout relevance score for each predefined FD image. Therefore, complexity of performing template matching with every predefined image in the database is eliminated, thereby increasing the processing speed. The nationality detection system detects the nationality and layout of the input image based on highest first layout relevance score if it is greater than or equal to predefined threshold value. Else, the nationality and layout of the input image are detected based on a nationality-based relevance score computed using the first layout relevance score of each predefined FD image.

Abstract: Embodiment of the present disclosure discloses method and device for determining one or more characteristics of currency note. The currency evaluating device is configured to receive image of currency note and detect text from one or more predefined first regions of image. Further, language associated with detected text is identifies and one of single nationality and plurality of nationalities associated with language of currency note is obtained from data source associated with currency evaluating device. When single nationality is obtained, nationality of currency note is identified to be said single nationality. When plurality of nationalities is obtained, nationality of currency note is identified from plurality of nationalities using Optical Character Recognition (OCR). Upon identifying nationality, one or more characteristics of currency note is identified by extracting object features on image based on identified nationality.

Abstract: The present subject matter is related in general to image processing that discloses a method for detecting nationality and layout of an input image. A nationality detection system retrieves predefined Financial Document (FD) images based on extracted features of an input image from a database and performs template matching of each predefined FD image with the input image to compute a first layout relevance score for each predefined FD image. Therefore, complexity of performing template matching with every predefined image in the database is eliminated, thereby increasing the processing speed. The nationality detection system detects the nationality and layout of the input image based on highest first layout relevance score if it is greater than or equal to predefined threshold value. Else, the nationality and layout of the input image are detected based on a nationality-based relevance score computed using the first layout relevance score of each predefined FD image.

Abstract: Embodiment of the present disclosure discloses method and device for determining one or more characteristics of currency note. The currency evaluating device is configured to receive image of currency note and detect text from one or more predefined first regions of image. Further, language associated with detected text is identifies and one of single nationality and plurality of nationalities associated with language of currency note is obtained from data source associated with currency evaluating device. When single nationality is obtained, nationality of currency note is identified to be said single nationality. When plurality of nationalities is obtained, nationality of currency note is identified from plurality of nationalities using Optical Character Recognition (OCR). Upon identifying nationality, one or more characteristics of currency note is identified by extracting object features on image based on identified nationality.