Carthage compatible License Platform Swift


Penny Pincher is a fast template-based gesture recognizer, developed by Eugene Taranta and Joseph LaViola (full paper reference below). The algorithm is well-suited for mobile applications since it is both fast and accurate and, as shown in the evaluation by the authors, outperforms other recognizers. This project provides a Swift implementation of Penny Pincher and shows its usage in a simple example project. Also, the framework contains a UIGestureRecognizer subclass that integrates well into the existing gesture recognition framework of iOS.

Here’s the full reference for the paper:

Eugene M. Taranta, II and Joseph J. LaViola, Jr.. 2015. Penny pincher: a blazing fast, highly accurate $-family recognizer. In Proceedings of the 41st Graphics Interface Conference (GI ‘15). Canadian Information Processing Society, Toronto, Ont., Canada, Canada, 195-202.




v1.2.0: >= iOS 9, Xcode 8, Swift 3.1
v1.0.3: >= iOS 8, Xcode 7, Swift 2.0


Recommended installation options are via Carthage or manual installation.


PennyPincher supports installation via Carthage:



Please see the ViewController of the example project on how to use PennyPincher. Although you can use the PennyPincher class directly, the easiest way is to instantiate its gesture recognizer class, configure it, and add it to a view:

let pennyPincherGestureRecognizer = PennyPincherGestureRecognizer()
pennyPincherGestureRecognizer.enableMultipleStrokes = true
pennyPincherGestureRecognizer.allowedTimeBetweenMultipleStrokes = 0.2
pennyPincherGestureRecognizer.cancelsTouchesInView = false
pennyPincherGestureRecognizer.addTarget(self, action: "didRecognize:")


In the code above, the following properties are set:

The target-action pair is executed for state changes triggered by the recognizer. You can use the state property to react accordingly in the UI. The result property returns a tuple consisting of the recognized PennyPincherTemplate and CGFloat value indicating the similarity. For example:

guard let (template, similarity) = pennyPincherGestureRecognizer.result else {
    print("Could not recognize.")

let similarityString = String(format: "%.2f", similarity)
print("Template: \(, Similarity: \(similarityString)")

You can add and remove templates by modifying the templates array property of the recognizer. The PennyPincher class provides a static method to create new templates of type PennyPincherTemplate (a struct). Required parameters are the id (a unique string) and points (an array of CGPoints).

For example:

let template = PennyPincher.createTemplate("templateID", points: points)

Templates could be serialized and saved to disk and then loaded again into memory when the application launches. PennyPincher works pretty well with only one template per gesture (id) but, depending on your use case, you can increase its accuracy by adding more for each gesture.

Loading Templates

PennyPincher comes with an importer to load and parse the binary Android gesture file format (thanks to @rafcabezas for the contribution). Pass the URL of the gestures file to AndroidGesturesImporter.translatedGestures(from:) and then add the templates to the gesture recognizer. The example project contains a gestures file with two gestures.

let gestures = AndroidGesturesImporter.translatedGestures(from: gesturesFile)
for gesture in gestures {
    if let template = PennyPincher.createTemplate(, points: gesture.allPoints) {






PennyPincher is available under the MIT license. See the LICENSE file for more info.