Matching And Classification TRIZ Cases

Segmenting the palm vein database into predefined groups reduces processing time by narrowing down potential matches before final comparison.

Camera captures fingerprint images through display glass layers using internal reflection, eliminating dedicated sensor area to preserve screen real estate.

Assigns device fingerprints by correlating browser plug-in and font attributes, reducing system complexity during security verification.

A mobile terminal controller extracts fingerprint data to configure encrypted video sections based on sensing duration.

A virtual interface adjusts its layout based on detected palm input patterns to correct finger positions dynamically.

A fingerprint matching method projects ridge orientation and separation into a multidimensional coordinate system to normalize image representations.

A biometric identification apparatus classifies input data into multiple classes using segmented feature extraction to calculate similarity scores.

A fingerprint template generation apparatus calculates similarity levels between multiple templates to select and update feature point attributes.

A portable device displays a palm outline image to guide user hand positioning for biometric data capture.

Segmented reference areas evaluate local extremum match parameters to resolve parallel ridge ambiguity in small sensors.

A processor-implemented method updates fingerprint recognition models using confidence values to enhance fake detection accuracy.

Segmenting vein patterns by surface feature points avoids full image scanning, resolving the trade-off between authentication accuracy and processing speed.

Photometric stereo extracts curvature and orientation from multi-angle lighting to boost accuracy while lowering hardware costs.

Symbol templates provide reference data to calculate image resolution, reducing distortion errors during latent fingerprint reconstruction.

A pattern matching system separates input features into time-invariant and time-variant categories for distinct processing.

Ambient light adaptation selects fingerprint templates by intensity to resolve interference.

A fingerprint-based image search system captures visual data to retrieve associated information without requiring manual metadata input.

An obscured biometric signature and authentication code stored on a chip card enable secure local verification without transferring sensitive data.

Analyze UI fingerprints against a database to track device usage patterns while handling unknown interfaces through preliminary action.

A fingerprint matching apparatus applies user-defined markers to input and registered images to narrow candidate sets.

Processor extracts anti-spoof features from overlap and non-overlap image regions using matcher alignment data.

A fingerprint recognition system extracts mesoscopic features using deep neural networks for automated biometric matching.

A 3D palmprint imaging system captures surface curvature and geometric features to generate unique biometric identifiers.

A hierarchical structure merges fingerprint slices across multiple levels to generate a complete enroll image.

Auto encode decode network reduces feature dimensionality to resolve low-quality image recognition accuracy issues.

AI restoration models reconstruct degraded fingerprint images captured through protective films for reliable device authentication.

A fingerprint matching method extracts feature points and identifies true pairs through direction difference calculations.

A holographic optical element directs light through a transparent substrate to enable fingerprint detection on an electroluminescent display.

Control circuitry prioritizes re-authentication order based on facial image time-change attributes.

A fingerprint registration method retrieves feature information based on preset index types to determine effective templates for reliable matching.

An electronic mechanism authenticates users on alien devices to enable secure data exchange between smartphones.

Reduced feature data segments registered information into multiple layers, lowering false acceptance ratios and processing time.

A fingerprint enrollment method generates unique identification data by incorporating temporal and spatial parameters into the creation process.

A fingerprint sensor processes input images by extracting unique non-overlapping regions to classify users against stored reference data.

Conductive flexure biases a movable mounting frame carrying a biometric sensor for integrated authentication.

A fingerprint anti-counterfeiting device acquires a face image under preset trigger conditions to verify user identity.

A palm recognition system scans user hands to automate account charging without physical payment objects.

Periodic finger detection keeps the display active, resolving the trade-off between user convenience and power consumption.

A fingerprint recognition method uses an artificial intelligence engine to generate high-resolution candidate images from sparse sensor inputs.

A biometric system uses a two-dimensional gradient filter to process palm print images for reliable user identification.

A fingerprint sensor adjusts exposure duration based on image quality to reduce unlocking latency.

A biometric authentication system narrows recognition range using base station location data to identify users without additional operations.

Estimates unique scanner patterns from pixel data to verify device authenticity and prevent counterfeiting attacks.

A verification device projects parallel lines onto a finger to capture fringe patterns for contactless authentication.

Computing differential anti-spoof metrics relative to a template improves spoof detection accuracy by accounting for sensor variations.

A fingerprint recognition system modifies registered features using input similarities to update a neural network model.

An information processing apparatus generates symmetric and antisymmetric feature data to calculate dissimilarity.

A pre-match phase predicts pattern match likelihood to adjust subsequent processing thresholds dynamically.