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There are risks associated with the potential usage of our methods for biometric identification. They include lack of informed consent, discrimination and bias, privacy concerns, misuse and abuse, among other risks. 1) Lack of Informed Consent: Individuals may not fully understand the implications of handing over their hand images for biometric identification, particularly in the context of police surveillance. Hence, transparent information about the purpose, risks, and implications of such biometric identification needs to be provided to the involved individuals. 2) Discrimination and Bias: Machine learning-based biometric systems, including those using hand images, may exhibit bias or inaccuracies, leading to disproportionate targeting or misidentification of certain demographics, such as people of colour or individuals with disabilities. Biometric systems therefore need to be regularly evaluated and audited. Diverse representation is needed in the development and testing of those systems. 3) Privacy Concerns: Hand images can be used to identify individuals. Collecting and storing such data for surveillance purposes raises privacy concerns. Strict regulations need to be implemented for governing the collection, storage, and use of hand images for biometric identification. 4) Misuse and Abuse: Biometric data, including hand images, can be misused or abused if it falls into the wrong hands. Robust security measures need to be employed to protect biometric databases from unauthorized access or breaches. Employing encryption, access controls, and conducting routine security audits can mitigate the chances of misuse. 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